Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837015(2024)
Few-Shot Object Detection Based on Association and Discrimination
[1] Zhao F, Deng Y J. Light dim small target detection network with multi-heterogeneous filters[J]. Acta Optica Sinica, 43, 0915001(2023).
[2] Li J N, Wang Z, Xu T F. Three-dimensional object detection technology based on point cloud data[J]. Acta Optica Sinica, 43, 1515001(2023).
[3] Kang B Y, Liu Z, Wang X et al. Few-shot object detection via feature reweighting[C], 8419-8428(2020).
[4] Yan X P, Chen Z L, Xu A N et al. Meta R-CNN: towards general solver for instance-level low-shot learning[C], 9576-9585(2020).
[5] Xiao Y, Lepetit V, Marlet R. Few-shot object detection and viewpoint estimation for objects in the wild[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 3090-3106(2023).
[8] Wu J X, Liu S T, Huang D, Ferrari V, Hebert M, Sminchisescu C et al. Multi-scale positive sample refinement for few-shot object detection[M]. Computer vision-ECCV 2018, 12361, 456-472(2020).
[9] Sun B, Li B H, Cai S C et al. FSCE: few-shot object detection via contrastive proposal encoding[C], 7348-7358(2021).
[10] Cai X Y, Zhou Y, Hu X F et al. Intelligent detection algorithm for small targets based on super-resolution reconstruction[J]. Laser & Optoelectronics Progress, 60, 1210002(2023).
[11] Everingham M, van Gool L, Williams C K I et al. The pascal visual object classes (VOC) challenge[J]. International Journal of Computer Vision, 88, 303-338(2010).
[12] Zhang H K, Chang H, Ma B P, Vedaldi A, Bischof H, Brox T et al. Dynamic R-CNN: towards high quality object detection via dynamic training[M]. Computer vision-ECCV 2020, 12360, 260-275(2020).
[13] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).
[14] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).
[16] Duan Z J, Li S B, Hu J J et al. Review of deep learning based object detection methods and their mainstream frameworks[J]. Laser & Optoelectronics Progress, 57, 120005(2020).
[17] Miller G A. WordNet: a lexical database for English[J]. Communications of the ACM, 38, 39-41(1995).
[19] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).
[20] Zhao B, Wang C P, Fu Q et al. Multi-scale infrared pedestrian detection based on deep attention mechanism[J]. Acta Optica Sinica, 40, 0504001(2020).
[21] Everingham M, Ali Eslami S M, van Gool L et al. The pascal visual object classes challenge: a retrospective[J]. International Journal of Computer Vision, 111, 98-136(2015).
[23] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).
[24] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[25] Fan Z B, Ma Y C, Li Z M et al. Generalized few-shot object detection without forgetting[C], 4525-4534(2021).
[28] Chen H, Wang Y L, Wang G Y et al. LSTD: a low-shot transfer detector for object detection[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2836-2843(2018).
[29] Wang Y X, Ramanan D, Hebert M. Meta-learning to detect rare objects[C], 9924-9933(2020).
[30] Zhu C C, Chen F Y, Ahmed U et al. Semantic relation reasoning for shot-stable few-shot object detection[C], 8778-8787(2021).
[31] Deng J K, Guo J, Xue N N et al. ArcFace: additive angular margin loss for deep face recognition[C], 4685-4694(2019).
[32] Wang H, Wang Y T, Zhou Z et al. CosFace: large margin cosine loss for deep face recognition[C], 5265-5274(2018).
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Jianli Jia, Huiyan Han, Liqun Kuang, Fangzheng Han, Xinyi Zheng, Xiuquan Zhang. Few-Shot Object Detection Based on Association and Discrimination[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837015
Category: Digital Image Processing
Received: Jul. 5, 2023
Accepted: Aug. 22, 2023
Published Online: Apr. 16, 2024
The Author Email: Han Huiyan (hhy980344@163.com)