Faster R-CNN Target-Detection Algorithm Fused with Adaptive Attention Mechanism

Qisheng Wang; Fengsui Wang; Jingang Chen; Furong Liu

doi:10.3788/LOP202259.1215016

[1] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

[2] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[EB/OL]. https://arxiv.org/abs/1512.02325

[3] 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).

[4] Bochkovskiy A, Wang C Y, Liao H Y M. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. https://arxiv.org/abs/2004.10934

[5] Yao Q L, Hu X, Lei H. Object detection in remote sensing images using multiscale convolutional neural networks[J]. Acta Optica Sinica, 39, 1128002(2019).

[6] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[7] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C], 15523970(2015).

[8] Lecun Y, Bottou L, Bengio Y et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

[9] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[EB/OL]. https://arxiv.org/abs/1409.1556

[10] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[11] Li P H, Xie J T, Wang Q L et al. Is second-order information helpful for large-scale visual recognition?[C], 2089-2097(2017).

[12] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C], 7794-7803(2018).

[13] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

[14] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[EB/OL]. https://arxiv.org/abs/1807.06521

[15] 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).

[16] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).

[17] Zhang X S, Zhuang Y, Yan F et al. Status and development of transfer learning based category-level object recognition and detection[J]. Acta Automatica Sinica, 45, 1224-1243(2019).

[18] Everingham M, Eslami S M A, Gool L et al. The pascal visual object classes challenge: a retrospective[J]. International Journal of Computer Vision, 111, 98-136(2015).