Comments (1)
The mAP is the same as the baseline. There may be something wrong with your codes. You can refer MGD for higher mmdet version.
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Related Issues (20)
- 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
- 1 HOT 1
- ConfigDict has no attribute "model" HOT 6
- 请问作者有在yolov5上实现效果吗 HOT 2
- Welcome update to OpenMMLab 2.0
- hello,I want to ask a question about yolox distillation HOT 7
- KeyError: 'neck.fpn_convs.4.conv'
- invalid pre-training HOT 7
- Why the mAP is lower after distillation in VOC? HOT 1
- Can the network be replicated using the 2023 version of mmdetection? HOT 4
- YoloX-l distill Yolox-s with coco pretrained weights HOT 1
- Drop in mAP after Retinanet Distillation HOT 10
- How to output the Params or FLOPs after FGD distillation? HOT 5
- Some questions about gcblock HOT 1
- 你好,我看到您在GitHub更新了yolox的相关蒸馏的数据
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