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: