这里是我平时会看的一些文献,有些没得时间看,但这些确实很值得一看,放在这里,做个提醒,如果后续我记起来了,后续还会有补充,大家可以留言推荐,仅限计算机视觉方向

1.RFBNet

论文标题:Receptive Field Block Net for Accurate and Fast Object Detection

论文地址:Receptive Field Block Net

源码地址:https://github.com/ruinmessi/RFBNet

2.Fast R-CNN

3.Faster R-CNN

4.ResNet

5.Inception

6.Mask R-CNN

7.YOLOv1

8.SSD

9.DSSD

10.ASDD

11.FSSD

12.FASSD

论文标题:FASSD: A Feature Fusion and Spatial Attention-Based Single Shot Detector for Small Object Detection

论文地址:https://www.mdpi.com/2079-9292/9/9/1536

源码地址:

13.AlexNet

14.SIFT

15.HOG

16.FPN

论文标题:Feature Pyramid Networks for Object Detection

论文地址:Feature Pyramid Networks for Object Detection (thecvf.com)

源码地址:FPN: Feature Pyramid Networks for Object Detection

17.RefineDet

18.M2Det

19.RSSD

论文标题:Enhancement of SSD by concatenating feature maps for object detection

论文地址:

源码地址:

20.MDSSD

论文标题:Mdssd: Multi-scale deconvolutional single shot detector for small objects

论文地址:

论文源码: