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Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection" (TMLR 2025)
This PR implements Contrastive Mean Teacher (CMT) on top of Adaptive Teacher (AT). Some code in `cmt.py` is taken from the [original implementation](https://github.com/Shengcao-Cao/CMT).
Hi, Thank you for your research and I really like your achievement and sharing. I evaluated the model "cityscapes_baseline_strongaug_ema_foggy_val_model_best_591_ema2model.pth" with this command "python tools/train_net.py --config configs/cityscapes/Base-RCNN-FPN-Cityscapes_strongaug_ema.yaml --eval-only" I got the...
Hi, I think the source-only model AP50 should be "59.1" like other ablation study result. By the way, I would like to use the best model. Will you share the...
After successfully training the models, I am trying to use this to visualize the feature space. but after a while the process is getting killed automatically. There is no clue...
Hi Dr. Kay, I'm working with the code and am impressed with the approach. Do you have any suggestions for potential future work or improvements that could further enhance the...
I made the baseline training for the PT. and then used the priorart PT for training it on my custom dataset all training is success but when I try to...
Hi, Do you have a plan to release the final model weights for VitDet-B on cityscapes foggy? best
Hi @justinkay , @timmh, When training a model based on YOLO, the training process displays precision and validation tables during inference iterations, which works as expected. However, after training completes...
Zero Accuracy Reported During Training of YOLO and Faster R-CNN Despite Identical Config and Dataset
Hi @justinkay, I trained a YOLO-based model, but during training, the accuracy was 0. During testing, images loaded correctly, yet no final accuracy was reported. Then, I trained a Faster...
Hi @justinkay 🤗 I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to...