目标检测及语义分割学习论文汇总

论文加中翻译地址：
R-CNN：
(45条消息) R-CNN论文详解（论文翻译）_v1_vivian的博客-CSDN博客_rcnn论文
https://blog.csdn.net/v1_vivian/article/details/78599229

SPPNet:《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》
(45条消息) SPPNet论文翻译_小支525的博客-CSDN博客
https://blog.csdn.net/qq_41295976/article/details/88172354

BAM+CBAM:
注意力机制BAM和CBAM详细解析（附代码） - 知乎
https://zhuanlan.zhihu.com/p/136308008

引用：
1.FPN
Lin T Y , Dollar P , Girshick R , et al. Feature Pyramid Networks for Object Detection[J]. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

2.GHOST
[9] Han K , Wang Y , Tian Q , et al. GhostNet: More Features From Cheap Operations[C]// 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020.

3.SENET
Jie H , Li S , Gang S , et al. Squeeze-and-Excitation Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, PP(99).

4.SKNET
Li X , Wang W , Hu X , et al. Selective Kernel Networks[J]. IEEE, 2020.

5.CA
Hou Q , Zhou D , Feng J . Coordinate Attention for Efficient Mobile Network Design[J]. 2021.

6.BAM
Park J , Woo S , Lee J Y , et al. BAM: Bottleneck Attention Module[J]. 2018.

7.CBAM
Woo S , Park J , Lee J Y , et al. CBAM: Convolutional Block Attention Module[J]. European Conference on Computer Vision, 2018.