Related Issues (20)
- why the large and medium object‘Ap is lower than the centernet‘s
- Pretrained weight and Sparse RCNN implementation HOT 2
- Cost and loss difference HOT 2
- What differences between min cost assignment in OneNet and Hungarian algorithm in Sparse R-CNN? HOT 2
- KeyError: 'Non-existent config key: MODEL.OneNet' HOT 1
- Setting of learning rate HOT 2
- The loss is Nan HOT 3
- Hi!, when num_classes ==1, cant compute focal loss, because if p.shape[-1] ==self.num_classes: nn.init.constant_(p, self.bias_value) HOT 1
- It seems that there is a typo in table 5 . HOT 2
- Why is my accuracy at 1.441? HOT 2
- DLA34 Backbone Result HOT 1
- Questions about focal loss used, with comparison to CenterNet HOT 4
- Why change the matcher from Minimum Cost to Hungarian? HOT 2
- Why does OneSeg performance drop? HOT 2
- 请问,有MMDetection实现吗? HOT 2
- Ablation on original training losses? HOT 3
- where are the multi-head training implement? HOT 2
- about the index of positive
- where is the versions of FCOS with one to-one assignment?
- Invalid issue, please close it
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