Comments (2)
Thanks for your advices. You can follow https://mmdetection.readthedocs.io/en/latest/user_guides/semi_det.html temporarily, and I will update README and configs as soon as possibly.
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I sincerely appreciate your efforts in open-sourcing your remarkable work. The provided resources have been immensely valuable, and I am grateful for the opportunity to explore and utilize them.
However, I have encountered a challenge in the absence of guidance on reproducing and migrating to custom datasets. To facilitate a smoother integration into specific use cases, could you kindly consider updating the README with detailed instructions on custom dataset reproduction and migration?
I believe that such guidance would significantly enhance the user experience and broaden the applicability of your project. Your attention to this matter would be highly beneficial, and I look forward to your insights on this aspect of your project.
Hello,
Could you please share your suggestions that helped you reproduce the results?
Thanks,
Bharani.
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Related Issues (16)
- May I ask where the paper has been submitted
- about the configs of MixPL HOT 3
- where is the code of labeled resampling HOT 3
- How can I train a model based on Custom Dataset? HOT 9
- where is your code about mixup and masaic?
- Pretrained backbone checkpoint HOT 2
- TOPK query selection out of range when training MixPL over DINO HOT 3
- The result I reproduced is almost 0. HOT 5
- Reproduce results (DINO) on 10% label data on coco dataset HOT 2
- About the gradcam visualization in the paper
- About reproduction results with Faster-RCNN on 10% label data on coco dataset HOT 6
- About samples_per_gpu HOT 4
- About unsupervised losses HOT 1
- 关于对比方法 HOT 4
- AttributeError: 'DINO' object has no attribute 'config'
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