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Why doesn't it work? #1
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I use this method to replace the class loss BCEcls,is it right? |
For now, EQL v2 does not work for single-stage detectors because of the imbalance problem caused by lots of background anchors. |
ok,thanks |
大佬。yolov5上现在可能用EQLv2了吗。。。。one stage工业上比较香,但长尾不好解决啊~ |
哈哈哈哈,现在还不行,我们正在尝试解决中~ |
@tztztztztz 大佬加油! |
@tztztztztz 话说大佬,最新的yolox就是一个解耦的模型,这个可以用eqlv2吗? |
虽然他这个是解耦的,但是还是属于单阶段,需要对于大量的anchor point进行分类,所以还是会回到单阶段的长尾问题 |
ok 谢谢大佬 |
@tztztztztz 大佬,现在在yolov5上能采用eqlv2吗?能解决单阶段长尾问题不? |
I want to use this method in yolov5, because there is a long tail distribution problem in my data set. The largest class has more than 10000 pictures, and the smallest class has only more than 300 pictures. After 100 epoch, the mAP value is only 9.2%. Without using this method to calculate the loss function, the mAP value is 57.8. Why?
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