{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:05:14Z","timestamp":1775145914121,"version":"3.50.1"},"reference-count":48,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.063109","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T04:47:16Z","timestamp":1748494036000},"page":"1615-1632","source":"Crossref","is-referenced-by-count":1,"title":["Implicit Feature Contrastive Learning for Few-Shot Object Detection"],"prefix":"10.32604","volume":"84","author":[{"given":"Gang","family":"Li","sequence":"first","affiliation":[]},{"given":"Zheng","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chuanyun","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Zihan","family":"Ruan","sequence":"additional","affiliation":[]},{"given":"Pengfei","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Ru","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xinyu","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Tan","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","series-title":"European Conference on Computer Vision","first-page":"213","article-title":"End-to-end object detection with transformers","author":"Carion","year":"2020 Aug 23\u201328"},{"key":"ref2","series-title":"Computer Vision-ECCV 2016: 14th European Conference","first-page":"21","article-title":"SSD: single shot multibox detector","author":"Liu","year":"2016 Oct 11\u201314"},{"key":"ref3","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"779","article-title":"You only look once: unified, real-time object detection","author":"Redmon","year":"2016 Jun 27\u201330"},{"key":"ref4","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 Transact Pattern Anal Mach Intell"},{"key":"ref5","series-title":"Proceedings of the 37th International Conference on Machine Learning, ICML\u201920","first-page":"9919","article-title":"Frustratingly simple few-shot object detection","author":"Wang","year":"2020 Jul 13\u201318"},{"key":"ref6","first-page":"16570","article-title":"Few-shot object detection via association and discrimination","volume":"34","author":"Cao","year":"2021","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref7","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"8681","article-title":"DeFRCN: decoupled faster R-CNN for few-shot object detection","author":"Qiao","year":"2021 Oct 11\u201317"},{"key":"ref8","series-title":"Proceedings of the 2019 IEEE\/CVF International Conference on Computer Vision","first-page":"8420","article-title":"Few-shot object detection via feature reweighting","author":"Kang","year":"2019 Oct 27\u2013Nov 2"},{"key":"ref9","series-title":"Proceedings of the 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"403","article-title":"Meta-transfer learning for few-shot learning","author":"Sun","year":"2019 Jun 15\u201320"},{"key":"ref10","series-title":"International Conference on Artificial Neural Networks","first-page":"78","article-title":"Few-shot object detection via transfer learning and contrastive reweighting","author":"Wu","year":"2023 Sep 26\u201329"},{"key":"ref11","first-page":"18640","article-title":"Decoupling classifier for boosting few-shot object detection and instance segmentation","volume":"35","author":"Gao","year":"2022","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref12","series-title":"Proceedings of the 2024 Asian Conference on Computer Vision (ACCV)","first-page":"286","article-title":"Decoupled DETR for few-shot object detection","author":"Shangguan","year":"2024 Dec 8\u201312"},{"key":"ref13","series-title":"Proceedings of the 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"7339","article-title":"Meta-tuning loss functions and data augmentation for few-shot object detection","author":"Demirel","year":"2023 Jun 22"},{"key":"ref14","series-title":"Proceedings of the 2024 IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"1257","article-title":"Data augmentation for object detection via controllable diffusion models","author":"Fang","year":"2024 Jan 3\u20138"},{"key":"ref15","series-title":"Proceedings of the 2019 IEEE\/CVF International Conference on Computer Vision","first-page":"9925","article-title":"Meta-learning to detect rare objects","author":"Wang","year":"2019 Oct 27\u2013Nov 2"},{"key":"ref16","series-title":"Proceedings of the 2019 IEEE\/CVF International Conference on Computer Vision","first-page":"9577","article-title":"Meta R-CNN: towards general solver for instance-level low-shot learning","author":"Yan","year":"2019 Oct 27\u2013Nov 2"},{"key":"ref17","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"755","article-title":"Few-shot object detection via variational feature aggregation","author":"Han","year":"2023 Feb 7\u201314"},{"key":"ref18","series-title":"Proceedings of the 2024 AAAI Conference on Artificial Intelligence","first-page":"5859","article-title":"Fine-grained prototypes distillation for few-shot object detection","author":"Wang","year":"2024 Feb 26\u201327"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"11958","DOI":"10.1109\/TNNLS.2023.3265051","article-title":"Few-shot object detection: a comprehensive survey","volume":"35","author":"K\u00f6hler","year":"2024","journal-title":"IEEE Transact on Neural Netw Learn Syst"},{"key":"ref20","series-title":"Computer Vision-ECCV 2020: 16th European Conference","first-page":"456","article-title":"Multi-scale positive sample refinement for few-shot object detection","author":"Wu","year":"2020 Aug 23\u201328"},{"key":"ref21","series-title":"Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"13008","article-title":"Hallucination improves few-shot object detection","author":"Zhang","year":"2021 Jun 20\u201325"},{"key":"ref22","series-title":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","first-page":"1","article-title":"Few-shot object detection in real life: case study on auto-harvest","author":"Riou","year":"2020 Sep 21\u201323"},{"key":"ref23","series-title":"Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"8782","article-title":"Semantic relation reasoning for shot-stable few-shot object detection","author":"Zhu","year":"2021 Jun 20\u201325"},{"key":"ref24","series-title":"Proceedings of the 2020 Asian Conference on Computer Vision","first-page":"89","article-title":"Any-shot object detection","author":"Rahman","year":"2020 Nov 30\u2013Dec 4"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"4594","DOI":"10.1109\/TIP.2019.2910052","article-title":"Multi-level semantic feature augmentation for one-shot learning","volume":"28","author":"Chen","year":"2019","journal-title":"IEEE Transact Image Process"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"109411","DOI":"10.1016\/j.knosys.2022.109411","article-title":"Few-shot object detection with semantic enhancement and semantic prototype contrastive learning","volume":"252","author":"Huang","year":"2022","journal-title":"Knowl Based Syst"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"110781","DOI":"10.1016\/j.patcog.2024.110781","article-title":"Feature-semantic augmentation network for few-shot open-set recognition","volume":"156","author":"Huang","year":"2024","journal-title":"Pattern Recognit"},{"key":"ref28","series-title":"Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3339","article-title":"Domain adaptive faster R-CNN for object detection in the wild","author":"Chen","year":"2018 Jun 18\u201323"},{"key":"ref29","series-title":"Proceedings of the 2018 AAAI Conference on Artificial Intelligence","first-page":"2836","article-title":"LSTD: a low-shot transfer detector for object detection","author":"Chen","year":"2018 Feb 2\u20137"},{"key":"ref30","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"780","article-title":"Meta faster R-CNN: towards accurate few-shot object detection with attentive feature alignment","author":"Han","year":"2022 Feb 22\u2013Mar 1"},{"key":"ref31","first-page":"12832","article-title":"Meta-DETR: image-level few-shot detection with inter-class correlation exploitation","volume":"45","author":"Zhang","year":"2022","journal-title":"IEEE Transact Pattern Anal Mach Intellig"},{"key":"ref32","series-title":"2024 IEEE International Conference on Image Processing (ICIP)","first-page":"575","article-title":"Semantic enhanced few-shot object detection","author":"Wang","year":"2024 Oct 27\u201330"},{"key":"ref33","first-page":"1","article-title":"Multiscale object contrastive learning-derived few-shot object detection in VHR imagery","volume":"60","author":"Chen","year":"2022","journal-title":"IEEE Transact Geosci Remote Sen"},{"key":"ref34","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"3733","article-title":"Unsupervised feature learning via non-parametric instance discrimination","author":"Wu","year":"2018 Jun 18\u201323"},{"key":"ref35","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"9729","article-title":"Momentum contrast for unsupervised visual representation learning","author":"He","year":"2020 Jun 13\u201319"},{"key":"ref36","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"15750","article-title":"Exploring simple siamese representation learning","author":"Chen","year":"2021 Jun 20\u201325"},{"key":"ref37","first-page":"18661","article-title":"Supervised contrastive learning","volume":"33","author":"Khosla","year":"2020","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref38","series-title":"International Conference on Machine Learning","first-page":"3090","article-title":"Perfectly balanced: improving transfer and robustness of supervised contrastive learning","author":"Chen","year":"2022 Jul 17\u201323"},{"key":"ref39","first-page":"5549","article-title":"Contrastive learning with stronger augmentations","volume":"45","author":"Wang","year":"2022","journal-title":"IEEE Transact Pattern Analys Mach Intell"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"102162","DOI":"10.1016\/j.displa.2022.102162","article-title":"Cross attention redistribution with contrastive learning for few shot object detection","volume":"72","author":"Quan","year":"2022","journal-title":"Displays"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","article-title":"The pascal visual object classes (VOC) challenge","volume":"88","author":"Everingham","year":"2010","journal-title":"Int J Computer Vis"},{"key":"ref42","unstructured":"Chen K, Wang J, Pang J, Cao Y, Xiong Y, Li X, et al. MMDetection: open mmlab detection toolbox and benchmark. arXiv:1906.07155. 2019."},{"key":"ref43","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016 Jun 27\u201330"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"Imagenet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"Int J Computer Vis"},{"key":"ref45","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2117","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2017 Jul 21\u201326"},{"key":"ref46","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"4527","article-title":"Generalized few-shot object detection without forgetting","author":"Fan","year":"2021 Jun 20\u201325"},{"key":"ref47","series-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"7352","article-title":"FSCE: few-shot object detection via contrastive proposal encoding","author":"Sun","year":"2021 Jun 20\u201325"},{"key":"ref48","series-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"5321","article-title":"Few-shot object detection with fully cross-transformer","author":"Han","year":"2022 Jun 18\u201324"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-1\/TSP_CMC_63109\/TSP_CMC_63109.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:36:23Z","timestamp":1763343383000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n1\/61728"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":48,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.063109","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}