{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T22:31:49Z","timestamp":1772231509593,"version":"3.50.1"},"reference-count":95,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T00:00:00Z","timestamp":1668211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T00:00:00Z","timestamp":1668211200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1007\/s11042-022-14204-0","type":"journal-article","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T08:02:34Z","timestamp":1668240154000},"page":"16501-16517","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["DSSN: dual shallow Siamese network for fashion image retrieval"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2470-1269","authenticated-orcid":false,"given":"Sk Maidul","family":"Islam","sequence":"first","affiliation":[]},{"given":"Subhankar","family":"Joardar","sequence":"additional","affiliation":[]},{"given":"Arif Ahmed","family":"Sekh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,12]]},"reference":[{"key":"14204_CR1","doi-asserted-by":"crossref","unstructured":"Ak K E, Kassim A A, Lim J H, Tham J Y (2018) Learning attribute representations with localization for flexible fashion search. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7708\u20137717","DOI":"10.1109\/CVPR.2018.00804"},{"key":"14204_CR2","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1016\/j.patrec.2018.07.019","volume":"112","author":"KE Ak","year":"2018","unstructured":"Ak K E, Lim J H, Tham J Y, Kassim A A (2018) Which shirt for my first date? Towards a flexible attribute-based fashion query system. Pattern Recogn Lett 112:212\u2013218","journal-title":"Pattern Recogn Lett"},{"key":"14204_CR3","doi-asserted-by":"crossref","unstructured":"Ak K E, Lim J H, Tham J Y, Kassim A (2019) Semantically consistent hierarchical text to fashion image synthesis with an enhanced-attentional generative adversarial network. In: 2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, pp 3121\u20133124","DOI":"10.1109\/ICCVW.2019.00379"},{"issue":"4","key":"14204_CR4","doi-asserted-by":"publisher","first-page":"3317","DOI":"10.1007\/s13369-020-04384-y","volume":"45","author":"MK Alsmadi","year":"2020","unstructured":"Alsmadi M K (2020) Content-based image retrieval using color, shape and texture descriptors and features. Arab J Sci Eng 45(4):3317\u20133330","journal-title":"Arab J Sci Eng"},{"key":"14204_CR5","unstructured":"Beaupre D-A, Bilodeau G-A (2019) Siamese cnns for rgb-lwir disparity estimation. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 0\u20130"},{"issue":"11","key":"14204_CR6","doi-asserted-by":"publisher","first-page":"5629","DOI":"10.1007\/s12652-020-01923-1","volume":"11","author":"R Bibi","year":"2020","unstructured":"Bibi R, Mehmood Z, Yousaf R M, Saba T, Sardaraz M, Rehman A (2020) Query-by-visual-search: multimodal framework for content-based image retrieval. J Ambient Intell Humaniz Comput 11(11):5629\u20135648","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"14204_CR7","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.robot.2018.11.002","volume":"111","author":"L Caltagirone","year":"2019","unstructured":"Caltagirone L, Bellone M, Svensson L, Wahde M (2019) Lidar\u2013camera fusion for road detection using fully convolutional neural networks. Robot Auton Syst 111:125\u2013131","journal-title":"Robot Auton Syst"},{"key":"14204_CR8","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.cviu.2019.04.004","volume":"184","author":"U Chaudhuri","year":"2019","unstructured":"Chaudhuri U, Banerjee B, Bhattacharya A (2019) Siamese graph convolutional network for content based remote sensing image retrieval. Comput Vis Image Underst 184:22\u201330","journal-title":"Comput Vis Image Underst"},{"key":"14204_CR9","doi-asserted-by":"crossref","unstructured":"Cheng Z-Q, Wu X, Liu Y, Hua X-S (2017) Video2shop: exact matching clothes in videos to online shopping images. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4048\u20134056","DOI":"10.1109\/CVPR.2017.444"},{"key":"14204_CR10","doi-asserted-by":"crossref","unstructured":"Chung D, Tahboub K, Delp E J (2017) A two stream siamese convolutional neural network for person re-identification. In: Proceedings of the IEEE international conference on computer vision, pp 1983\u20131991","DOI":"10.1109\/ICCV.2017.218"},{"key":"14204_CR11","unstructured":"Chung Y-A, Weng W-H (2017) Learning deep representations of medical images using siamese cnns with application to content-based image retrieval. arXiv:1711.084901711.08490"},{"key":"14204_CR12","doi-asserted-by":"crossref","unstructured":"Corbiere C, Ben-Younes H, Ram\u00e9 A, Ollion C (2017) Leveraging weakly annotated data for fashion image retrieval and label prediction. In: Proceedings of the IEEE international conference on computer vision workshops, pp 2268\u20132274","DOI":"10.1109\/ICCVW.2017.266"},{"key":"14204_CR13","doi-asserted-by":"crossref","unstructured":"Dong H, Liang X, Zhang Y, Zhang X, Shen X, Xie Z, Wu B, Yin J (2020) Fashion editing with adversarial parsing learning. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 8120\u20138128","DOI":"10.1109\/CVPR42600.2020.00814"},{"key":"14204_CR14","doi-asserted-by":"crossref","unstructured":"Erkut U, Bostanc\u0131o\u011flu F, Erten M, \u00d6zbayo\u011flu A M, Solak E (2019) Hsv color histogram based image retrieval with background elimination. In: 2019 1st International Informatics and Software Engineering Conference (UBMYK). IEEE, pp 1\u20135","DOI":"10.1109\/UBMYK48245.2019.8965513"},{"key":"14204_CR15","unstructured":"Fei-Fei L, Fergus R, Perona P (2004) Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. Computer Vision and Pattern Recognition Workshop"},{"key":"14204_CR16","doi-asserted-by":"crossref","unstructured":"Gajic B, Baldrich R (2018) Cross-domain fashion image retrieval. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 1869\u20131871","DOI":"10.1109\/CVPRW.2018.00243"},{"key":"14204_CR17","doi-asserted-by":"crossref","unstructured":"Ge Y, Zhang R, Wang X, Tang X, Luo P (2019) Deepfashion2: a versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 5337\u20135345","DOI":"10.1109\/CVPR.2019.00548"},{"key":"14204_CR18","doi-asserted-by":"crossref","unstructured":"Ghojogh B, Sikaroudi M, Shafiei S, Tizhoosh H R, Karray F, Crowley M (2020) Fisher discriminant triplet and contrastive losses for training siamese networks. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, pp 1\u20137","DOI":"10.1109\/IJCNN48605.2020.9206833"},{"issue":"5","key":"14204_CR19","doi-asserted-by":"publisher","first-page":"102276","DOI":"10.1016\/j.ipm.2020.102276","volume":"57","author":"X Gu","year":"2020","unstructured":"Gu X, Gao F, Tan M, Peng P (2020) Fashion analysis and understanding with artificial intelligence. Inform Process Manag 57(5):102276","journal-title":"Inform Process Manag"},{"key":"14204_CR20","doi-asserted-by":"crossref","unstructured":"Guo Y, Cheung N-M (2018) Efficient and deep person re-identification using multi-level similarity. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2335\u20132344","DOI":"10.1109\/CVPR.2018.00248"},{"key":"14204_CR21","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.buildenv.2018.05.026","volume":"140","author":"I Ha","year":"2018","unstructured":"Ha I, Kim H, Park S, Kim H (2018) Image retrieval using bim and features from pretrained vgg network for indoor localization. Build Environ 140:23\u201331","journal-title":"Build Environ"},{"key":"14204_CR22","doi-asserted-by":"crossref","unstructured":"Hadi Kiapour M, Han X, Lazebnik S, Berg A C, Berg T L (2015) Where to buy it: matching street clothing photos in online shops. In: Proceedings of the IEEE international conference on computer vision, pp 3343\u20133351","DOI":"10.1109\/ICCV.2015.382"},{"issue":"3","key":"14204_CR23","doi-asserted-by":"publisher","first-page":"317","DOI":"10.3233\/ICA-200625","volume":"27","author":"S Hamreras","year":"2020","unstructured":"Hamreras S, Boucheham B, Molina-Cabello M A, Benitez-Rochel R, Lopez-Rubio E (2020) Content based image retrieval by ensembles of deep learning object classifiers. Integr Comput-Aided Eng 27(3):317\u2013331","journal-title":"Integr Comput-Aided Eng"},{"key":"14204_CR24","doi-asserted-by":"crossref","unstructured":"Hidayati S C, Hsu C-C, Chang Y-T, Hua K-L, Fu J, Cheng W-H (2018) What dress fits me best? fashion recommendation on the clothing style for personal body shape. In: Proceedings of the 26th ACM international conference on Multimedia, pp 438\u2013446","DOI":"10.1145\/3240508.3240546"},{"key":"14204_CR25","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1016\/j.procs.2019.09.358","volume":"159","author":"S-C Hsiao","year":"2019","unstructured":"Hsiao S-C, Kao D-Y, Liu Z-Y, Tso R (2019) Malware image classification using one-shot learning with siamese networks. Procedia Comput Sci 159:1863\u20131871","journal-title":"Procedia Comput Sci"},{"issue":"3","key":"14204_CR26","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/S0262-8856(97)00062-0","volume":"16","author":"C-L Huang","year":"1998","unstructured":"Huang C-L, Huang D-H (1998) A content-based image retrieval system. Image Vis Comput 16(3):149\u2013163","journal-title":"Image Vis Comput"},{"key":"14204_CR27","doi-asserted-by":"crossref","unstructured":"Huang J, Feris R S, Chen Q, Yan S (2015) Cross-domain image retrieval with a dual attribute-aware ranking network. In: Proceedings of the IEEE international conference on computer vision, pp 1062\u20131070","DOI":"10.1109\/ICCV.2015.127"},{"key":"14204_CR28","doi-asserted-by":"crossref","unstructured":"Huang L, Chen Y (2020) Dual-path siamese cnn for hyperspectral image classification with limited training samples. IEEE Geosci Remote Sens Lett","DOI":"10.1109\/LGRS.2020.2979604"},{"key":"14204_CR29","doi-asserted-by":"crossref","unstructured":"Ilhan H O, Sigirci I O, Serbes G, Aydin N (2020) A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods. Medical & Biological Engineering & Computing, 1\u201322","DOI":"10.1007\/s11517-019-02101-y"},{"issue":"4","key":"14204_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-021-00734-1","volume":"2","author":"SM Islam","year":"2021","unstructured":"Islam S M, Joardar S, Dogra D P, Sekh A A (2021) Ornament image retrieval using multimodal fusion. SN Comput Sci 2(4):1\u20139","journal-title":"SN Comput Sci"},{"key":"14204_CR31","first-page":"100","volume-title":"Ringfir: a large volume earring dataset for fashion image retrieval","author":"SM Islam","year":"2021","unstructured":"Islam S M, Joardar S, Sekh A A (2021) Ringfir: a large volume earring dataset for fashion image retrieval. Springer, Singapore, pp 100\u2013111"},{"key":"14204_CR32","doi-asserted-by":"crossref","unstructured":"Jaradat S (2017) Deep cross-domain fashion recommendation. In: Proceedings of the Eleventh ACM conference on recommender systems, pp 407\u2013410","DOI":"10.1145\/3109859.3109861"},{"key":"14204_CR33","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.jvcir.2018.03.008","volume":"53","author":"M Jian","year":"2018","unstructured":"Jian M, Qi Q, Dong J, Yin Y, Lam K-M (2018) Integrating qdwd with pattern distinctness and local contrast for underwater saliency detection. J Vis Commun Image Represent 53:31\u201341","journal-title":"J Vis Commun Image Represent"},{"key":"14204_CR34","doi-asserted-by":"publisher","first-page":"114219","DOI":"10.1016\/j.eswa.2020.114219","volume":"168","author":"M Jian","year":"2021","unstructured":"Jian M, Wang J, Yu H, Wang G, Meng X, Yang L, Dong J, Yin Y (2021) Visual saliency detection by integrating spatial position prior of object with background cues. Expert Syst Appl 168:114219","journal-title":"Expert Syst Appl"},{"issue":"21","key":"14204_CR35","doi-asserted-by":"publisher","first-page":"29099","DOI":"10.1007\/s11042-018-6122-2","volume":"77","author":"M Jian","year":"2018","unstructured":"Jian M, Yin Y, Dong J, Lam K-M (2018) Content-based image retrieval via a hierarchical-local-feature extraction scheme. Multimed Tools Applic 77(21):29099\u201329117","journal-title":"Multimed Tools Applic"},{"key":"14204_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jvcir.2018.10.008","volume":"57","author":"M Jian","year":"2018","unstructured":"Jian M, Zhang W, Yu H, Cui C, Nie X, Zhang H, Yin Y (2018) Saliency detection based on directional patches extraction and principal local color contrast. J Vis Commun Image Represent 57:1\u201311","journal-title":"J Vis Commun Image Represent"},{"issue":"5","key":"14204_CR37","doi-asserted-by":"publisher","first-page":"11997","DOI":"10.1007\/s10586-017-1539-3","volume":"22","author":"G Kalaiarasi","year":"2019","unstructured":"Kalaiarasi G, Thyagharajan KK (2019) Clustering of near duplicate images using bundled features. Clust Comput 22(5):11997\u201312007","journal-title":"Clust Comput"},{"key":"14204_CR38","doi-asserted-by":"crossref","unstructured":"Kang W-C, Fang C, Wang Z, McAuley J (2017) Visually-aware fashion recommendation and design with generative image models. In: 2017 IEEE International Conference on Data Mining (ICDM). IEEE, pp 207\u2013216","DOI":"10.1109\/ICDM.2017.30"},{"issue":"3","key":"14204_CR39","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1007\/s40815-017-0355-5","volume":"20","author":"P Karczmarek","year":"2018","unstructured":"Karczmarek P, Kiersztyn A, Pedrycz W (2018) Generalized choquet integral for face recognition. Int J Fuzzy Syst 20(3):1047\u20131055","journal-title":"Int J Fuzzy Syst"},{"key":"14204_CR40","doi-asserted-by":"crossref","unstructured":"Khurana T, Mahajan K, Arora C, Rai A (2018) Exploiting texture cues for clothing parsing in fashion images. In: 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, pp 2102\u20132106","DOI":"10.1109\/ICIP.2018.8451281"},{"key":"14204_CR41","doi-asserted-by":"crossref","unstructured":"Kuang Z, Gao Y, Li G, Luo P, Chen Y, Lin L, Zhang W (2019) Fashion retrieval via graph reasoning networks on a similarity pyramid. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 3066\u20133075","DOI":"10.1109\/ICCV.2019.00316"},{"key":"14204_CR42","doi-asserted-by":"crossref","unstructured":"Lang Y, He Y, Yang F, Dong J, Xue H (2020) Which is plagiarism: fashion image retrieval based on regional representation for design protection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 2595\u20132604","DOI":"10.1109\/CVPR42600.2020.00267"},{"issue":"04","key":"14204_CR43","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1055\/s-0038-1633877","volume":"43","author":"TM Lehmann","year":"2004","unstructured":"Lehmann T M, G\u00fcld M O, Thies C, Fischer B, Spitzer K, Keysers D, Ney H, Kohnen M, Schubert H, Wein B B (2004) Content-based image retrieval in medical applications. Methods Inform Med 43(04):354\u2013361","journal-title":"Methods Inform Med"},{"key":"14204_CR44","unstructured":"Li J, Chi Z, Chen G (2004) Image retrieval based on sugeno fuzzy integral. In: Third International Conference on Image and Graphics (ICIG\u201904). IEEE, pp 160\u2013163"},{"key":"14204_CR45","unstructured":"Li Z, Li Y, Tian W, Pang Y, Liu Y (2016) Cross-scenario clothing retrieval and fine-grained style recognition. In: 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, pp 2912\u20132917"},{"issue":"6","key":"14204_CR46","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/TMM.2016.2542983","volume":"18","author":"X Liang","year":"2016","unstructured":"Liang X, Lin L, Yang W, Luo P, Huang J, Yan S (2016) Clothes co-parsing via joint image segmentation and labeling with application to clothing retrieval. IEEE Trans Multimed 18(6):1175\u20131186","journal-title":"IEEE Trans Multimed"},{"key":"14204_CR47","unstructured":"Liao Q (2016) Comparison of several color histogram based retrieval algorithms. In: 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, pp 1670\u20131673"},{"issue":"6","key":"14204_CR48","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1016\/j.imavis.2008.07.004","volume":"27","author":"C-H Lin","year":"2009","unstructured":"Lin C-H, Chen R-T, Chan Y-K (2009) A smart content-based image retrieval system based on color and texture feature. Image Vis Comput 27 (6):658\u2013665","journal-title":"Image Vis Comput"},{"key":"14204_CR49","doi-asserted-by":"crossref","unstructured":"Lin K, Yang H-F, Liu K-H, Hsiao J-H, Chen C-S (2015) Rapid clothing retrieval via deep learning of binary codes and hierarchical search. In: Proceedings of the 5th ACM on international conference on multimedia retrieval, pp 499\u2013502","DOI":"10.1145\/2671188.2749318"},{"key":"14204_CR50","doi-asserted-by":"publisher","first-page":"107926","DOI":"10.1016\/j.patcog.2021.107926","volume":"116","author":"G-H Liu","year":"2021","unstructured":"Liu G-H, Yang J-Y (2021) Deep-seated features histogram: a novel image retrieval method. Pattern Recogn 116:107926","journal-title":"Pattern Recogn"},{"key":"14204_CR51","doi-asserted-by":"crossref","unstructured":"Liu K-H, Chen T-Y, Chen C-S (2016) Mvc: a dataset for view-invariant clothing retrieval and attribute prediction. In: Proceedings of the 2016 ACM on international conference on multimedia retrieval, pp 313\u2013316","DOI":"10.1145\/2911996.2912058"},{"key":"14204_CR52","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.inffus.2016.12.001","volume":"36","author":"Y Liu","year":"2017","unstructured":"Liu Y, Chen X, Peng H, Wang Z (2017) Multi-focus image fusion with a deep convolutional neural network. Inform Fus 36:191\u2013207","journal-title":"Inform Fus"},{"key":"14204_CR53","doi-asserted-by":"crossref","unstructured":"Liu Z, Luo P, Qiu S, Wang X, Tang X (2016) Deepfashion: powering robust clothes recognition and retrieval with rich annotations. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1096\u20131104","DOI":"10.1109\/CVPR.2016.124"},{"key":"14204_CR54","doi-asserted-by":"crossref","unstructured":"Liu Z, Yan S, Luo P, Wang X, Tang X (2016) Fashion landmark detection in the wild. In: European conference on computer vision. Springer, pp 229\u2013245","DOI":"10.1007\/978-3-319-46475-6_15"},{"key":"14204_CR55","doi-asserted-by":"crossref","unstructured":"Long F, Zhang H, Feng D D (2003) Fundamentals of content-based image retrieval. In: Multimedia information retrieval and management. Springer, pp 1\u201326","DOI":"10.1007\/978-3-662-05300-3_1"},{"key":"14204_CR56","doi-asserted-by":"crossref","unstructured":"Melekhov I, Kannala J, Rahtu E (2016) Siamese network features for image matching. In: 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, pp 378\u2013383","DOI":"10.1109\/ICPR.2016.7899663"},{"key":"14204_CR57","doi-asserted-by":"publisher","first-page":"142669","DOI":"10.1109\/ACCESS.2020.3013631","volume":"8","author":"Y Miao","year":"2020","unstructured":"Miao Y, Li G, Bao C, Zhang J, Wang J (2020) Clothingnet: cross-domain clothing retrieval with feature fusion and quadruplet loss. IEEE Access 8:142669\u2013142679","journal-title":"IEEE Access"},{"issue":"5","key":"14204_CR58","doi-asserted-by":"publisher","first-page":"1573","DOI":"10.3390\/s21051573","volume":"21","author":"L Nanni","year":"2021","unstructured":"Nanni L, Minchio G, Brahnam S, Maguolo G, Lumini A (2021) Experiments of image classification using dissimilarity spaces built with siamese networks. Sensors 21(5):1573","journal-title":"Sensors"},{"key":"14204_CR59","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.neucom.2020.07.092","volume":"414","author":"N Pandey","year":"2020","unstructured":"Pandey N, Savakis A (2020) Poly-gan: multi-conditioned gan for fashion synthesis. Neurocomputing 414:356\u2013364","journal-title":"Neurocomputing"},{"issue":"11","key":"14204_CR60","doi-asserted-by":"publisher","first-page":"e0206229","DOI":"10.1371\/journal.pone.0206229","volume":"13","author":"O Pelka","year":"2018","unstructured":"Pelka O, Nensa F, Friedrich C M (2018) Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. PloS one 13(11):e0206229","journal-title":"PloS one"},{"issue":"1","key":"14204_CR61","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1109\/TVT.2019.2950670","volume":"69","author":"L Peng","year":"2019","unstructured":"Peng L, Zhang J, Liu M, Hu A (2019) Deep learning based rf fingerprint identification using differential constellation trace figure. IEEE Trans Veh Technol 69(1):1091\u20131095","journal-title":"IEEE Trans Veh Technol"},{"key":"14204_CR62","doi-asserted-by":"crossref","unstructured":"Qi Y, Song Y-Z, Zhang H, Liu J (2016) Sketch-based image retrieval via siamese convolutional neural network. In: 2016 IEEE International Conference on Image Processing (ICIP). IEEE, pp 2460\u20132464","DOI":"10.1109\/ICIP.2016.7532801"},{"key":"14204_CR63","doi-asserted-by":"crossref","unstructured":"Saxen F, Werner P, Handrich S, Othman E, Dinges L, Al-Hamadi A (2019) Face attribute detection with mobilenetv2 and nasnet-mobile. In: 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, pp 176\u2013180","DOI":"10.1109\/ISPA.2019.8868585"},{"key":"14204_CR64","doi-asserted-by":"crossref","unstructured":"Sharma P, Reilly R B (2003) A colour face image database for benchmarking of automatic face detection algorithms. In: Proceedings EC-VIP-MC 2003. 4th EURASIP conference focused on video\/image processing and multimedia communications (IEEE Cat. No. 03EX667), vol 1. IEEE, pp 423\u2013428","DOI":"10.1109\/VIPMC.2003.1220498"},{"key":"14204_CR65","unstructured":"Shi M, Lewis V D (2020) Using artificial intelligence to analyze fashion trends. arXiv:2005.00986"},{"key":"14204_CR66","doi-asserted-by":"crossref","unstructured":"Su H, Wang P, Liu L, Li H, Li Z, Zhang Y (2020) Where to look and how to describe: fashion image retrieval with an attentional heterogeneous bilinear network. IEEE Trans Circuits Syst Video Technol","DOI":"10.1109\/TCSVT.2020.3034981"},{"key":"14204_CR67","doi-asserted-by":"crossref","unstructured":"Sun G-L, Wu X, Chen H-H, Peng Q (2015) Clothing style recognition using fashion attribute detection. In: Proceedings of the 8th international conference on mobile multimedia communications, pp 145\u2013148","DOI":"10.4108\/icst.mobimedia.2015.259089"},{"key":"14204_CR68","unstructured":"Tan M, Le Q V (2021) Efficientnetv2: smaller models and faster training. arXiv:2104.00298"},{"issue":"1","key":"14204_CR69","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/BF00032121","volume":"65","author":"CJF Ter Braak","year":"1986","unstructured":"Ter Braak CJF, Looman CWN (1986) Weighted averaging, logistic regression and the gaussian response model. Vegetatio 65(1):3\u201311","journal-title":"Vegetatio"},{"issue":"3","key":"14204_CR70","doi-asserted-by":"publisher","first-page":"87","DOI":"10.4316\/AECE.2018.03012","volume":"18","author":"KK Thyagharajan","year":"2018","unstructured":"Thyagharajan K K, Kalaiarasi G (2018) Pulse coupled neural network based near-duplicate detection of images (pcnn\u2013ndd). Adv Electr Comput Eng 18(3):87\u201397","journal-title":"Adv Electr Comput Eng"},{"issue":"3","key":"14204_CR71","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1007\/s11831-020-09400-w","volume":"28","author":"KK Thyagharajan","year":"2021","unstructured":"Thyagharajan KK, Kalaiarasi G (2021) A review on near-duplicate detection of images using computer vision techniques. Arch Comput Methods Eng 28 (3):897\u2013916","journal-title":"Arch Comput Methods Eng"},{"key":"14204_CR72","doi-asserted-by":"crossref","unstructured":"Tu Q, Dong L (2010) An intelligent personalized fashion recommendation system. In: 2010 International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, pp 479\u2013485","DOI":"10.1109\/ICCCAS.2010.5581949"},{"key":"14204_CR73","doi-asserted-by":"crossref","unstructured":"Verma S, Anand S, Arora C, Rai A (2018) Diversity in fashion recommendation using semantic parsing. In: 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, pp 500\u2013504","DOI":"10.1109\/ICIP.2018.8451164"},{"key":"14204_CR74","doi-asserted-by":"crossref","unstructured":"Wang W, Xu Y, Shen J, Zhu S-C (2018) Attentive fashion grammar network for fashion landmark detection and clothing category classification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4271\u20134280","DOI":"10.1109\/CVPR.2018.00449"},{"key":"14204_CR75","doi-asserted-by":"crossref","unstructured":"Wang X, Sun Z, Zhang W, Zhou Y, Jiang Y-G (2016) Matching user photos to online products with robust deep features. In: Proceedings of the 2016 ACM on international conference on multimedia retrieval, pp 7\u201314","DOI":"10.1145\/2911996.2912002"},{"key":"14204_CR76","unstructured":"Welinder P, Branson S, Mita T, Wah C, Schroff F, Belongie S, Perona P (2010) Caltech-UCSD Birds 200. Technical Report CNS-TR-2010-001, Cali711 fornia Institute of Technology"},{"key":"14204_CR77","doi-asserted-by":"crossref","unstructured":"Wiggers K L, Britto A S, Heutte L, Koerich A L, Oliveira L S (2019) Image retrieval and pattern spotting using siamese neural network. In: 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, pp 1\u20138","DOI":"10.1109\/IJCNN.2019.8852197"},{"issue":"6","key":"14204_CR78","doi-asserted-by":"publisher","first-page":"1412","DOI":"10.1109\/TMM.2018.2877886","volume":"21","author":"L Wu","year":"2018","unstructured":"Wu L, Wang Y, Gao J, Li X (2018) Where-and-when to look: deep siamese attention networks for video-based person re-identification. IEEE Trans Multimed 21(6):1412\u20131424","journal-title":"IEEE Trans Multimed"},{"issue":"13","key":"14204_CR79","doi-asserted-by":"publisher","first-page":"9419","DOI":"10.1007\/s11042-019-7605-5","volume":"79","author":"Q Wu","year":"2020","unstructured":"Wu Q (2020) Image retrieval method based on deep learning semantic feature extraction and regularization softmax. Multimed Tools Applic 79 (13):9419\u20139433","journal-title":"Multimed Tools Applic"},{"key":"14204_CR80","unstructured":"Xiao H, Rasul K, Vollgraf R (2017) Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. ArXiv:1708.07747"},{"issue":"8","key":"14204_CR81","doi-asserted-by":"publisher","first-page":"2482","DOI":"10.1109\/TCSVT.2018.2867286","volume":"29","author":"N Xu","year":"2018","unstructured":"Xu N, Liu A-A, Wong Y, Zhang Y, Nie W, Su Y, Kankanhalli M (2018) Dual-stream recurrent neural network for video captioning. IEEE Trans Circuits Syst Video Technol 29(8):2482\u20132493","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"1","key":"14204_CR82","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1109\/21.87068","volume":"18","author":"RR Yager","year":"1988","unstructured":"Yager R R (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst Man Cybern 18(1):183\u2013190","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"14204_CR83","doi-asserted-by":"crossref","unstructured":"Yamaguchi K, Kiapour M H, Ortiz L E, Berg T L (2012) Parsing clothing in fashion photographs. In: 2012 IEEE Conference on computer vision and pattern recognition. IEEE, pp 3570\u20133577","DOI":"10.1109\/CVPR.2012.6248101"},{"issue":"1","key":"14204_CR84","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S1665-6423(14)71609-8","volume":"12","author":"M Yasmin","year":"2014","unstructured":"Yasmin M, Mohsin S, Sharif M (2014) Intelligent image retrieval techniques: a survey. J Appl Res Technol 12(1):87\u2013103","journal-title":"J Appl Res Technol"},{"key":"14204_CR85","doi-asserted-by":"crossref","unstructured":"Yin R, Li K, Lu J, Zhang G (2019) Enhancing fashion recommendation with visual compatibility relationship. In: The world wide web conference, pp 3434\u20133440","DOI":"10.1145\/3308558.3313739"},{"key":"14204_CR86","doi-asserted-by":"crossref","unstructured":"Yu A, Grauman K (2014) Fine-grained visual comparisons with local learning. In: Computer Vision and Pattern Recognition (CVPR)","DOI":"10.1109\/CVPR.2014.32"},{"key":"14204_CR87","doi-asserted-by":"crossref","unstructured":"Yu A, Grauman K (2017) Semantic jitter: dense supervision for visual comparisons via synthetic images. In: International Conference on Computer Vision (ICCV)","DOI":"10.1109\/ICCV.2017.594"},{"issue":"13","key":"14204_CR88","doi-asserted-by":"publisher","first-page":"19157","DOI":"10.1007\/s11042-020-10355-0","volume":"80","author":"L Yu","year":"2021","unstructured":"Yu L, Liu N, Zhou W, Dong S, Fan Y, Abbas K (2021) Weber\u2019s law based multi-level convolution correlation features for image retrieval. Multimed Tools Applic 80(13):19157\u201319177","journal-title":"Multimed Tools Applic"},{"issue":"5","key":"14204_CR89","doi-asserted-by":"publisher","first-page":"3345","DOI":"10.3934\/mbe.2019167","volume":"16","author":"J Zhang","year":"2019","unstructured":"Zhang J, Lu C, Li X, Kim H-J, Wang J (2019) A full convolutional network based on densenet for remote sensing scene classification. Math Biosci Eng 16(5):3345\u20133367","journal-title":"Math Biosci Eng"},{"key":"14204_CR90","doi-asserted-by":"crossref","unstructured":"Zhang J, Hu J (2008) Image segmentation based on 2d otsu method with histogram analysis. In: 2008 international conference on computer science and software engineering, vol 6. IEEE, pp 105\u2013108","DOI":"10.1109\/CSSE.2008.206"},{"issue":"2","key":"14204_CR91","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1177\/0887302X18821187","volume":"37","author":"L Zhao","year":"2019","unstructured":"Zhao L, Min C (2019) The rise of fashion informatics: a case of data-mining-based social network analysis in fashion. Cloth Text Res J 37(2):87\u2013102","journal-title":"Cloth Text Res J"},{"key":"14204_CR92","doi-asserted-by":"crossref","unstructured":"Zheng S, Yang F, Kiapour M H, Piramuthu R (2018) Modanet: a large-scale street fashion dataset with polygon annotations. In: ACM Multimedia conference on multimedia conference. ACM, pp 1670\u20131678","DOI":"10.1145\/3240508.3240652"},{"key":"14204_CR93","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.jvcir.2019.03.003","volume":"61","author":"W Zhou","year":"2019","unstructured":"Zhou W, Mok PY, Zhou Y, Zhou Y, Shen J, Qu Q, Chau KP (2019) Fashion recommendations through cross-media information retrieval. J Vis Commun Image Represent 61:112\u2013120","journal-title":"J Vis Commun Image Represent"},{"key":"14204_CR94","doi-asserted-by":"crossref","unstructured":"Zhu S, Urtasun R, Fidler S, Lin D, Change Loy C (2017) Be your own prada: fashion synthesis with structural coherence. In: Proceedings of the IEEE international conference on computer vision, pp 1680\u20131688","DOI":"10.1109\/ICCV.2017.186"},{"key":"14204_CR95","doi-asserted-by":"crossref","unstructured":"Zou X, Kong X, Wong W, Wang C, Liu Y, Cao Y (2019) Fashionai: a hierarchical dataset for fashion understanding. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 0\u20130","DOI":"10.1109\/CVPRW.2019.00039"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14204-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-14204-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-14204-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T09:36:36Z","timestamp":1681551396000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-14204-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,12]]},"references-count":95,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,5]]}},"alternative-id":["14204"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-14204-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,12]]},"assertion":[{"value":"5 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethics approval and consent to participate"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interests"}}]}}