{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:09Z","timestamp":1750220289166,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3488977","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"309-315","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SRFS-NET: Few Shot Learning Combined with the Salient Region"],"prefix":"10.1145","author":[{"given":"Ying","family":"Li","sequence":"first","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]},{"given":"RenJie","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]},{"given":"YuJie","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]},{"given":"Da","family":"Kang","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]},{"given":"ChunYan","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]},{"given":"Xiu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"IEEE","author":"Li F F","year":"2003","unstructured":"Li F F , Fergus R , Perona P. A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories ,IEEE International Conference on Computer Vision . IEEE , 2003 . Li F F, Fergus R,Perona P. A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories ,IEEE International Conference on Computer Vision. IEEE, 2003."},{"key":"e_1_3_2_1_2_1","unstructured":"Finn C Abbeel P Levine S. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. 2017.  Finn C Abbeel P Levine S. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. 2017."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.1333677"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/35058500"},{"key":"e_1_3_2_1_5_1","volume-title":"Prototypical Networks for Few-shot Learning","author":"Snell J","year":"2017","unstructured":"Snell J , Swersky K , Zemel R S . Prototypical Networks for Few-shot Learning . 2017 . Snell J , Swersky K , Zemel R S . Prototypical Networks for Few-shot Learning. 2017."},{"key":"e_1_3_2_1_6_1","volume-title":"Inception-ResNet and the Impact of Residual Connections on Learning","author":"Szegedy C","year":"2016","unstructured":"Szegedy C , Ioffe S , Vanhoucke V , Inception -v4 , Inception-ResNet and the Impact of Residual Connections on Learning . 2016 . Szegedy C, Ioffe S, Vanhoucke V , Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. 2016."},{"key":"e_1_3_2_1_7_1","volume-title":"ImageNet: A large-scale hierarchical image database","author":"Jia D","year":"2009","unstructured":"Jia D , Wei D , Socher R , ImageNet: A large-scale hierarchical image database . Proc of IEEE Computer Vision & Pattern Recognition , 2009 : 248-255. Jia D,Wei D , Socher R, ImageNet: A large-scale hierarchical image database. Proc of IEEE Computer Vision & Pattern Recognition, 2009:248-255."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Howard J Ruder S .Universal Language Model Fine-tuning for Text Classification. 2018.  Howard J Ruder S .Universal Language Model Fine-tuning for Text Classification. 2018.","DOI":"10.18653\/v1\/P18-1031"},{"key":"e_1_3_2_1_9_1","volume-title":"ICLR","author":"Ravi S","year":"2017","unstructured":"Ravi , S , Larochelle , H. Optimization as a model for few-shot learning . In ICLR , 2017 . Ravi, S, Larochelle, H. Optimization as a model for few-shot learning. In ICLR, 2017."},{"issue":"2","key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Distance metric learning: A comprehensive survey","volume":"2","year":"2006","unstructured":"YANG L, JIN R . Distance metric learning: A comprehensive survey . Michigan State Universiy , 2006 , 2 ( 2 ): 1 - 51 . YANG L, JIN R. Distance metric learning: A comprehensive survey. Michigan State Universiy, 2006, 2(2): 1-51.","journal-title":"Michigan State Universiy"},{"key":"e_1_3_2_1_11_1","volume-title":"Michigan State Universiy","author":"Distance Metric Learning","year":"2006","unstructured":"Distance Metric Learning : A Comprehensive Survey . Michigan State Universiy , 2006 Distance Metric Learning: A Comprehensive Survey. Michigan State Universiy, 2006"},{"key":"e_1_3_2_1_12_1","volume-title":"Matching Networks for One Shot Learning","author":"Vinyals O","year":"2016","unstructured":"Vinyals O , Blundell C , Lillicrap T , Matching Networks for One Shot Learning . 2016 . Vinyals O, Blundell C,Lillicrap T,et al.Matching Networks for One Shot Learning. 2016."},{"key":"e_1_3_2_1_13_1","unstructured":"Chen W.Y. Liu Y.C Kira Z. Wang Y.C. Huang J.B. A closer look at few-shot classification. In ICLR 2019.  Chen W.Y. Liu Y.C Kira Z. Wang Y.C. Huang J.B. A closer look at few-shot classification. In ICLR 2019."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.05.014"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/3477.938257"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1198\/106186007X181425"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_18_1","volume-title":"Going Deeper with Convolutions","author":"Szegedy C","year":"2014","unstructured":"Szegedy C , Wei L , Jia Y , Going Deeper with Convolutions . IEEE Computer Society , 2014 . Szegedy C,Wei L , Jia Y , Going Deeper with Convolutions. IEEE Computer Society, 2014."},{"key":"e_1_3_2_1_19_1","volume-title":"Szegedy C . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. JMLR.org","author":"Ioffe S","year":"2015","unstructured":"Ioffe S , Szegedy C . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. JMLR.org , 2015 . Ioffe S, Szegedy C . Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. JMLR.org, 2015."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"e_1_3_2_1_22_1","volume-title":"Learning to Compare: Relation Network for Few-Shot Learning","author":"Sung Y","year":"2017","unstructured":"F Sung , Yang Y , Zhang L , Learning to Compare: Relation Network for Few-Shot Learning . 2017 . F Sung, Yang Y,Zhang L,et al. Learning to Compare: Relation Network for Few-Shot Learning. 2017."},{"key":"e_1_3_2_1_23_1","volume-title":"Graph Neural Networks: A Review of Methods and Applications","author":"Zhou J","year":"2018","unstructured":"Zhou J , Cui G , Zhang Z , Graph Neural Networks: A Review of Methods and Applications . 2018 . Zhou J,Cui G,Zhang Z,et al. Graph Neural Networks: A Review of Methods and Applications. 2018."},{"volume-title":"IEEE International Conference on Computer Vision and Pattern Recognition,2018","author":"Spyros Gidaris","key":"e_1_3_2_1_24_1","unstructured":"Spyros Gidaris and Nikos Komodakis. Dynamic few-shot visual learning without forgetting . In IEEE International Conference on Computer Vision and Pattern Recognition,2018 Spyros Gidaris and Nikos Komodakis. Dynamic few-shot visual learning without forgetting. In IEEE International Conference on Computer Vision and Pattern Recognition,2018"},{"key":"e_1_3_2_1_25_1","volume-title":"Multi-level Semantic Feature Augmentation for One-shot Learning","author":"Chen Z","year":"2018","unstructured":"Chen Z , Fu Y , Zhang Y , Multi-level Semantic Feature Augmentation for One-shot Learning . 2018 . Chen Z, Fu Y , Zhang Y , Multi-level Semantic Feature Augmentation for One-shot Learning. 2018."},{"volume-title":"International Conference on Computer Vision.2019","author":"Jian Zhang","key":"e_1_3_2_1_26_1","unstructured":"Jian Zhang , Chenglong Zhao, Bingbing Ni , Minghao Xu, Xiaokang YangVariational Few -Shot Learning , International Conference on Computer Vision.2019 . Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang YangVariational Few-Shot Learning,International Conference on Computer Vision.2019."},{"key":"e_1_3_2_1_27_1","volume-title":"IEEE","author":"Zhang H","year":"2019","unstructured":"Zhang H , Koniusz P . Power Normalizing Second-Order Similarity Network for Few-Shot Learning,2019 IEEE Winter Conference on Applications of Computer Vision (WACV) . IEEE , 2019 . Zhang H , Koniusz P . Power Normalizing Second-Order Similarity Network for Few-Shot Learning,2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019."},{"key":"e_1_3_2_1_28_1","volume-title":"Associative Alignment for Few-shot Image Classification","author":"Afrasiyabi A","year":"2019","unstructured":"Afrasiyabi A , Lalonde J F, C Gagn\u00e9 . Associative Alignment for Few-shot Image Classification . 2019 . Afrasiyabi A,Lalonde J F, C Gagn\u00e9. Associative Alignment for Few-shot Image Classification. 2019."},{"key":"e_1_3_2_1_29_1","volume-title":"Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. International Conference on Learning Representations","author":"Hu S X","year":"2020","unstructured":"Hu S X , Moreno P G , Xiao Y , Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. International Conference on Learning Representations , 2020 . Hu S X , Moreno P G , Xiao Y , Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. International Conference on Learning Representations, 2020."},{"key":"e_1_3_2_1_30_1","volume-title":"Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?","author":"Tian Y","year":"2020","unstructured":"Tian Y , Wang Y , Krishnan D , Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? . 2020 . Tian Y , Wang Y , Krishnan D , Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?. 2020."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Shuo Hu Yaqing Zuo Lizhe Wang and Peng Liu \"A Review about Building Hidden Layer Methods of Deep Learning \" Vol. 7 No. 1 pp. 13-22 February 2016. doi: 10.12720\/jait.7.1.13-22.  Shuo Hu Yaqing Zuo Lizhe Wang and Peng Liu \"A Review about Building Hidden Layer Methods of Deep Learning \" Vol. 7 No. 1 pp. 13-22 February 2016. doi: 10.12720\/jait.7.1.13-22.","DOI":"10.12720\/jait.7.1.13-22"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.12720\/jait.11.4.209-216"}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2021","location":"Xiamen China"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3488977","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3488977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:28Z","timestamp":1750188688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3488977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":32,"alternative-id":["10.1145\/3488933.3488977","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3488977","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}