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后处理阶段,对未知类分数处理的不同方法,不过这两种方式检测效果差不多。 现在这个代码是基于yolov5的,yolov8只训练了小模型(没钱了),目前看来yolov8比Yolov5要强。
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感谢,所以说,这个模型只是在后处理的时候检测出未知类吗?是不是这么理解
神经网络会输出已知类和未知类的可能性分数,后处理阶段根据网络推理的未知类的分数来判断是已知的某一类还是未知类。
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The text was updated successfully, but these errors were encountered: