Comments (1)
Yes, you may change the related setting about the dataset if you use mmdetection. Or you can apply FGD method to your own code according to this repo and paper.
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Related Issues (20)
- what does it means HOT 1
- Warnings during the training process for FCOS HOT 1
- if i can use MultiScale training? HOT 3
- the
- Train my self data, the loss is large HOT 6
- FCOS训练及测试结果问题 HOT 4
- Should I change the mmdet/detectors/base.py when I train yolox? HOT 1
- Why the mAP is 0 when train myself data? HOT 1
- The model and loaded state dict do not match exactly HOT 2
- 为什么我运行的时候总提示 the model and loaded state dict do not match exactly? HOT 2
- mAP为0 HOT 17
- Cascadercnn-resnet50蒸馏18,loss_fgd_fpn_0太大(第一张图) HOT 10
- Add DCN HOT 5
- The cfg distillation for yoloxl_m HOT 2
- Using fgd_retina_r101_fpn_2x_distill_retina_r50_fpn_2x_coco.py to find retina_ R50 distillation result AP is 37.3%? HOT 1
- Why does inference slow down with weights generated by FGD? HOT 1
- How Can I install mmdet 2.11.0 while its latest version is 2.28.1? HOT 1
- no module named 'mmdet.distillation' HOT 1
- Whether additional monitoring training is required for gc-block? HOT 2
- The pre-trained model for Solo_r101_3x.pth HOT 1
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