yolo pdf,
EfficientDet https://arxiv.org/pdf/2011.08036.pdf YOLOv1 https://arxiv.org/pdf/1506.02640.pdf YOLOv2 https://arxiv.org/pdf/1612.08242.pdf YOLOv3 https://arxiv.org/pdf/2011.08036.pdf https://pjreddie.com/media/files/papers/YOLOv3.pdf YOLOv4 https://github.com/AlexeyAB/darknet YOLOv4-Scaled https://github.com/WongKinYiu/ScaledYOLOv4 YOLO-PPv2 https://arxiv.org/pdf/2104.10419.pdf YOLOv5 https://arxiv.org/pdf/2104.10419.pdf YOLOX https://github.com/Megvii-BaseDetection/YOLOX YOLOR https://github.com/WongKinYiu/yolor YOLOF https://arxiv.org/pdf/2103.09460.pdf YOLOS https://arxiv.org/pdf/2106.00666.pdf YOLOP https://arxiv.org/pdf/2108.11250.pdf YOLOV6 https://mp.weixin.qq.com/s/RrQCP4pTSwpTmSgvly9evg https://github.com/meituan/YOLOv6 https://zhuanlan.zhihu.com/p/353697121 YOLOV7 https://arxiv.org/abs/2207.02696 https://github.com/WongKinYiu/yolov7 |
https://github.com/yael-vinker/CLIPasso
https://github.com/openai/CLIP
refer to:
AI有啥用
https://blog.csdn.net/PercentageC/article/details/126744534