{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:21:33Z","timestamp":1783167693709,"version":"3.54.6"},"reference-count":82,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002215"],"award-info":[{"award-number":["62002215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52273228"],"award-info":[{"award-number":["52273228"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009002","name":"Shanghai University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014717","name":"Youth Science Fund Project","doi-asserted-by":"publisher","award":["62401352"],"award-info":[{"award-number":["62401352"]}],"id":[{"id":"10.13039\/100014717","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.knosys.2026.116218","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T06:54:05Z","timestamp":1779173645000},"page":"116218","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Tiny object detection via implicit feature fusion and hybrid metric adaptive label assignment"],"prefix":"10.1016","volume":"347","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6630-5339","authenticated-orcid":false,"given":"Qiaochuan","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1170-202X","authenticated-orcid":false,"given":"Yuexing","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2026.116218_b1","series-title":"2020 25th International Conference on Pattern Recognition","first-page":"3791","article-title":"Tiny object detection in aerial images","author":"Wang","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b2","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2017"},{"issue":"6","key":"10.1016\/j.knosys.2026.116218_b3","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.116218_b4","series-title":"2019 IEEE\/CVF International Conference on Computer Vision","article-title":"FCOS: Fully convolutional one-stage object detection","author":"Tian","year":"2019"},{"key":"10.1016\/j.knosys.2026.116218_b5","series-title":"2017 IEEE International Conference on Computer Vision","article-title":"Focal loss for dense object detection","author":"Lin","year":"2017"},{"key":"10.1016\/j.knosys.2026.116218_b6","series-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b7","doi-asserted-by":"crossref","first-page":"1968","DOI":"10.1109\/TMM.2021.3074273","article-title":"Extended feature pyramid network for small object detection","volume":"24","author":"Deng","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.knosys.2026.116218_b8","first-page":"1","article-title":"Regression-guided refocusing learning with feature alignment for remote sensing tiny object detection","volume":"62","author":"Ge","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b9","series-title":"A normalized Gaussian wasserstein distance for tiny object detection","author":"Wang","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b10","series-title":"Computer Vision \u2013 ECCV 2022","first-page":"526","article-title":"RFLA: Gaussian receptive field based label assignment for tiny object detection","author":"Xu","year":"2022"},{"key":"10.1016\/j.knosys.2026.116218_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108998","article-title":"A full data augmentation pipeline for small object detection based on generative adversarial networks","volume":"133","author":"Bosquet","year":"2023","journal-title":"Pattern Recognit."},{"issue":"7","key":"10.1016\/j.knosys.2026.116218_b12","doi-asserted-by":"crossref","first-page":"3691","DOI":"10.3390\/s23073691","article-title":"POSEIDON: A data augmentation tool for small object detection datasets in maritime environments","volume":"23","author":"Ruiz-Ponce","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.knosys.2026.116218_b13","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","first-page":"1192","article-title":"Dot distance for tiny object detection in aerial images","author":"Xu","year":"2021"},{"issue":"9","key":"10.1016\/j.knosys.2026.116218_b14","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.3390\/rs13091854","article-title":"Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network","volume":"13","author":"Bashir","year":"2021","journal-title":"Remote Sens."},{"issue":"01","key":"10.1016\/j.knosys.2026.116218_b15","doi-asserted-by":"crossref","DOI":"10.1117\/1.JEI.34.1.013005","article-title":"Asymmetric light-aware progressive decoding network for RGB-thermal salient object detection","volume":"34","author":"Zhang","year":"2025","journal-title":"J. Electron. Imaging"},{"issue":"4","key":"10.1016\/j.knosys.2026.116218_b16","doi-asserted-by":"crossref","first-page":"2775","DOI":"10.1109\/TCSVT.2023.3312325","article-title":"VSS-Net: Visual semantic self-mining network for video summarization","volume":"34","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.knosys.2026.116218_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113003","article-title":"A multi-scale semantically enriched feature pyramid network with enhanced focal loss for small-object detection","volume":"310","author":"Kiobya","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116218_b18","first-page":"1","article-title":"Semantic differentiation aids oriented small object detection","author":"Yuan","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.knosys.2026.116218_b19","first-page":"1","article-title":"CFANet: Efficient detection of UAV image based on cross-layer feature aggregation","volume":"61","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b20","first-page":"1","article-title":"Full-scale feature aggregation and grouping feature reconstruction-based UAV image target detection","volume":"62","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TPAMI.2023.3290594","article-title":"Towards large-scale small object detection: Survey and benchmarks","author":"Cheng","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.116218_b22","series-title":"2019 IEEE\/CVF International Conference on Computer Vision","first-page":"8310","article-title":"Clustered object detection in aerial images","author":"Yang","year":"2019"},{"key":"10.1016\/j.knosys.2026.116218_b23","series-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13658","article-title":"QueryDet: Cascaded sparse query for accelerating high-resolution small object detection","author":"Yang","year":"2022"},{"key":"10.1016\/j.knosys.2026.116218_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.image.2022.116675","article-title":"Focus-and-Detect: A small object detection framework for aerial images","volume":"104","author":"Koyun","year":"2022","journal-title":"Signal Process., Image Commun."},{"key":"10.1016\/j.knosys.2026.116218_b25","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.109806","article-title":"An efficient perceptual video compression scheme based on deep learning-assisted video saliency and just noticeable distortion","volume":"141","author":"Zhang","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.knosys.2026.116218_b26","first-page":"1","article-title":"CoF-Net: A progressive coarse-to-fine framework for object detection in remote-sensing imagery","volume":"61","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b27","doi-asserted-by":"crossref","first-page":"4341","DOI":"10.1109\/TIP.2023.3297408","article-title":"Centralized feature pyramid for object detection","volume":"32","author":"Quan","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2026.116218_b28","first-page":"1","article-title":"Multistage enhancement network for tiny object detection in remote sensing images","volume":"62","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b29","first-page":"1","article-title":"A DeNoising FPN with transformer R-CNN for tiny object detection","volume":"62","author":"Liu","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b30","doi-asserted-by":"crossref","first-page":"4183","DOI":"10.1109\/TMM.2023.3321394","article-title":"Multi-scale spatiotemporal feature fusion network for video saliency prediction","volume":"26","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.knosys.2026.116218_b31","first-page":"1","article-title":"Adaptive differentiation siamese fusion network for remote sensing change detection","volume":"22","author":"Zhang","year":"2025","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.knosys.2026.116218_b32","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.111840","article-title":"Video saliency prediction via single feature enhancement and temporal recurrence","volume":"160","author":"Zhang","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"1","key":"10.1016\/j.knosys.2026.116218_b33","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1145\/3503250","article-title":"NeRF: representing scenes as neural radiance fields for view synthesis","volume":"65","author":"Mildenhall","year":"2021","journal-title":"Commun. ACM"},{"key":"10.1016\/j.knosys.2026.116218_b34","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8624","article-title":"Learning continuous image representation with local implicit image function","author":"Chen","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b35","series-title":"Ultrasr: Spatial encoding is a missing key for implicit image function-based arbitrary-scale super-resolution","author":"Xu","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b36","series-title":"Computer Vision \u2013 ECCV 2022","first-page":"487","article-title":"Learning implicit feature alignment function for semantic segmentation","author":"Hu","year":"2022"},{"key":"10.1016\/j.knosys.2026.116218_b37","unstructured":"W. Xu, J. Jiao, Revisiting Implicit Neural Representations in Low-Level Vision, in: International Conference on Learning Representations Workshop, 2023."},{"key":"10.1016\/j.knosys.2026.116218_b38","series-title":"2023 IEEE\/CVF International Conference on Computer Vision","article-title":"Implicit neural representation for cooperative low-light image enhancement","author":"Yang","year":"2023"},{"key":"10.1016\/j.knosys.2026.116218_b39","series-title":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"25627","article-title":"Bidirectional multi-scale implicit neural representations for image deraining","author":"Chen","year":"2024"},{"issue":"6","key":"10.1016\/j.knosys.2026.116218_b40","doi-asserted-by":"crossref","first-page":"3096","DOI":"10.1109\/TPAMI.2021.3050494","article-title":"Learning to match anchors for visual object detection","volume":"44","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.116218_b41","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","article-title":"Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection","author":"Zhang","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b42","series-title":"Computer Vision \u2013 ECCV 2020","first-page":"355","article-title":"Probabilistic anchor assignment with IoU prediction for object detection","author":"Kim","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b43","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","article-title":"VarifocalNet: An IoU-aware dense object detector","author":"Zhang","year":"2021"},{"issue":"11","key":"10.1016\/j.knosys.2026.116218_b44","doi-asserted-by":"crossref","first-page":"11448","DOI":"10.1109\/TCSVT.2025.3578021","article-title":"Automatic label assignment for object detection","volume":"35","author":"Wang","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.knosys.2026.116218_b45","first-page":"1","article-title":"KLDet: Detecting tiny objects in remote sensing images via Kullback2013Leibler divergence","volume":"62","author":"Zhou","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b46","article-title":"Libra-sod: Balanced label assignment for small object detection","author":"Zhou","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116218_b47","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.knosys.2026.116218_b48","article-title":"Understanding the effective receptive field in deep convolutional neural networks","volume":"29","author":"Luo","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.knosys.2026.116218_b49","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"10208","article-title":"DetectoRS: Detecting objects with recursive feature pyramid and switchable atrous convolution","author":"Qiao","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b50","series-title":"2019 IEEE\/CVF International Conference on Computer Vision Workshop","article-title":"VisDrone-DET2019: The vision meets drone object detection in image challenge results","author":"Du","year":"2019"},{"issue":"5","key":"10.1016\/j.knosys.2026.116218_b51","doi-asserted-by":"crossref","first-page":"1601","DOI":"10.3390\/s21051601","article-title":"AgriPest: A large-scale domain-specific benchmark dataset for practical agricultural pest detection in the wild","volume":"21","author":"Wang","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.knosys.2026.116218_b52","series-title":"Computer Vision \u2013 ECCV 2014","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"Lin","year":"2014"},{"key":"10.1016\/j.knosys.2026.116218_b53","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","article-title":"DOTA: A large-scale dataset for object detection in aerial images","author":"Xia","year":"2018"},{"key":"10.1016\/j.knosys.2026.116218_b54","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"Paszke","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.knosys.2026.116218_b55","series-title":"MMDetection: Open mmlab detection toolbox and benchmark","author":"Chen","year":"1906"},{"key":"10.1016\/j.knosys.2026.116218_b56","series-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition","article-title":"ImageNet: A large-scale hierarchical image database","author":"Deng","year":"2009"},{"key":"10.1016\/j.knosys.2026.116218_b57","series-title":"Autoassign: Differentiable label assignment for dense object detection","author":"Zhu","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b58","series-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"6154","article-title":"Cascade R-CNN: Delving into high quality object detection","author":"Cai","year":"2018"},{"key":"10.1016\/j.knosys.2026.116218_b59","first-page":"1","article-title":"FSANet: Feature-and-spatial-aligned network for tiny object detection in remote sensing images","volume":"60","author":"Wu","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b60","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2023.126285","article-title":"Gaussian similarity-based adaptive dynamic label assignment for tiny object detection","volume":"543","author":"Fu","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.knosys.2026.116218_b61","first-page":"1","article-title":"Adaptive downsampling and scale enhanced detection head for tiny object detection in remote sensing image","volume":"22","author":"Zhang","year":"2025","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.knosys.2026.116218_b62","series-title":"Deformable detr: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b63","series-title":"2019 IEEE\/CVF International Conference on Computer Vision","article-title":"CenterNet: Keypoint triplets for object detection","author":"Duan","year":"2019"},{"key":"10.1016\/j.knosys.2026.116218_b64","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","article-title":"Sparse R-CNN: End-to-end object detection with learnable proposals","author":"Sun","year":"2021"},{"issue":"3","key":"10.1016\/j.knosys.2026.116218_b65","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1007\/s11263-019-01204-1","article-title":"CornerNet: Detecting objects as paired keypoints","volume":"128","author":"Law","year":"2019","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.knosys.2026.116218_b66","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1109\/TIP.2024.3501853","article-title":"ESOD: Efficient small object detection on high-resolution images","volume":"34","author":"Liu","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2026.116218_b67","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"7369","article-title":"Dynamic head: Unifying object detection heads with attentions","author":"Dai","year":"2021"},{"key":"10.1016\/j.knosys.2026.116218_b68","series-title":"2019 IEEE\/CVF International Conference on Computer Vision","first-page":"9656","article-title":"RepPoints: Point set representation for object detection","author":"Yang","year":"2019"},{"key":"10.1016\/j.knosys.2026.116218_b69","series-title":"2023 IEEE\/CVF International Conference on Computer Vision","first-page":"6294","article-title":"Small object detection via coarse-to-fine proposal generation and imitation learning","author":"Yuan","year":"2023"},{"key":"10.1016\/j.knosys.2026.116218_b70","series-title":"Yolov5, GitHub repository","author":"Jocher","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b71","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13435","article-title":"Adaptive sparse convolutional networks with global context enhancement for faster object detection on drone images","author":"Du","year":"2023"},{"key":"10.1016\/j.knosys.2026.116218_b72","first-page":"1","article-title":"Cross-layer feature pyramid transformer for small object detection in aerial images","volume":"63","author":"Du","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b73","first-page":"1","article-title":"Scale decoupled pyramid for object detection in aerial images","volume":"61","author":"Ma","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.knosys.2026.116218_b74","doi-asserted-by":"crossref","DOI":"10.1016\/j.image.2025.117284","article-title":"DMCTDet: A density map-guided composite transformer network for object detection of UAV images","volume":"136","author":"Li","year":"2025","journal-title":"Signal Process., Image Commun."},{"key":"10.1016\/j.knosys.2026.116218_b75","series-title":"Amrnet: Chips augmentation in aerial images object detection","author":"Wei","year":"2020"},{"key":"10.1016\/j.knosys.2026.116218_b76","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops","first-page":"2046","article-title":"Cascaded zoom-in detector for high resolution aerial images","author":"Meethal","year":"2023"},{"key":"10.1016\/j.knosys.2026.116218_b77","series-title":"Vision meets drones: A challenge","author":"Zhu","year":"2018"},{"key":"10.1016\/j.knosys.2026.116218_b78","series-title":"2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"7464","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"Wang","year":"2023"},{"key":"10.1016\/j.knosys.2026.116218_b79","series-title":"2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems","first-page":"1","article-title":"YOLOv8: A novel object detection algorithm with enhanced performance and robustness","author":"Varghese","year":"2024"},{"key":"10.1016\/j.knosys.2026.116218_b80","series-title":"Dino: Detr with improved denoising anchor boxes for end-to-end object detection","author":"Zhang","year":"2022"},{"key":"10.1016\/j.knosys.2026.116218_b81","series-title":"Align-detr: Improving detr with simple iou-aware bce loss","author":"Cai","year":"2023"},{"issue":"7","key":"10.1016\/j.knosys.2026.116218_b82","doi-asserted-by":"crossref","first-page":"2420","DOI":"10.1007\/s11263-024-01989-w","article-title":"Oriented R-CNN and beyond","volume":"132","author":"Xie","year":"2024","journal-title":"Int. J. Comput. Vis."}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705126009445?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705126009445?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T12:07:26Z","timestamp":1783166846000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0950705126009445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":82,"alternative-id":["S0950705126009445"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2026.116218","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Tiny object detection via implicit feature fusion and hybrid metric adaptive label assignment","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2026.116218","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"116218"}}