Comments (1)
HankYe
commented on May 31, 2024
你好，我看了论文，好像没做YOLOv5s的剪枝测试，是因为s模型已经Scaling后冗余没大模型多，然后剪枝性能提升不大吗？
您好，感谢您对工作的关注。
文中没做YOLOv5s的压缩的原因主要是：我们在考虑压缩YOLOv5时选择性能更接近sota的模型，从而在高性能模型上也验证算法的有效性，同时考虑到训练成本的问题，我们折中选择了YOLOv5m模型进行测试，并在之后补充了更高性能和规模的模型上的压缩结果。至于YOLOv5s的冗余是否没大模型多这个问题，我个人觉得这主要和训练策略有关，可能冗余比例是差不多的，我们没有在s模型上做测试，如果您感兴趣的话可以自行测试一下。
希望上述回复能解答您的相关疑问。若仍有疑惑，欢迎进一步交流。
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