Comments (1)
We tried two different settings for using the SwAV embedding. One is the representation after the projection layer (head), and one is an intermediate ResNet block output. We found that the intermediate block worked better (although we did not report this in the paper).
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Related Issues (20)
- What happens when Imagenet pre-training is replaced with COCO pre-training in Table-1? HOT 1
- False detection on colab demo
- evaluate pretrained model HOT 1
- Only one gpu HOT 7
- few-shot detection performance on COCO 2014 HOT 4
- How to draw this attention map correctly? Thanks HOT 1
- urllib.error.HTTPError: HTTP Error 403: Forbidden HOT 1
- About few-shot object detection HOT 4
- getting CUDA error HOT 2
- checkpoint_args = torch.load(args.resume, map_location='cpu')['args'] KeyError: 'args'??? HOT 1
- Fine-tuning based on the DETR architecture code, but the verification indicators are all 0 HOT 1
- How to draw fig4 and fig6? HOT 1
- demo infer result from colab is different sometimes
- Excuse me, hello, the problem occurred during the evaluation HOT 1
- Supervised object detection using 1% of labeled data on COCO HOT 1
- Can you explain clearly how to use a single GPU to train the model and the syntax? HOT 1
- How to model inference
- The problem occurred during the evaluation
- Comparison to transfer learning based on MS COCO pre-training?
- Do you have a pre-trained model for VOC?
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