Reproduce results (DINO) on 10% label data on coco dataset

[tahirashehzadi]

Hi,
Thank you so much for your amazing work. I reproduce results on 10% label data on coco dataset for DINO network. However i am getting 37.2 mAP on 10% label while your result on paper shows 44.6 mAP on 10% label. Can you elaborate this.

Thanks in advance!

[Czm369]

https://huggingface.co/czm369/MixPL/tree/main/mixpl_dino-4scale_r50_90k_coco-s1-p10.py

[bharanibala]

https://huggingface.co/czm369/MixPL/tree/main/mixpl_dino-4scale_r50_90k_coco-s1-p10.py

Hi,

Your results are amazing! I would appreciate if you could update README.MD file. I used the same file but I am not able to run the DINO model. Also, for the Faster-RCNN, I could not reproduce the results even with different learning rates and batch sizes. Could you please share some more insights like what dataset you used, did you use parallel distributed training?

Thanks,
Bharani.

[vicdxxx]

how to take care this issue: KeyError: 'MixPL is not in the mmdet::model registry.

[vicdxxx]

These is another issue: KeyError: 'AnnealMeanTeacherHook is not in the mmdet::hook registry.