Comments (1)
- You are correct, the first row of Table 4 (b) should be the same as the first row of Table 4 (a). I will update the ArXiv pdf when I get time.
- I have not tried to train it with the same epoch as HTC++ or K-Net.
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Related Issues (20)
- batch_size doesn't affect evaluation
- how use custom pre-trained backbone in mask2former HOT 1
- why swin accept different input size
- loading swintransformer
- Ambiguous checkpoint key error when running train_net.py HOT 1
- difference among different mode
- Prebuilt wheels provided via 3rd party repository
- Using COCO for the dataset, what is the appropriate adjustment for learning rate if using a single GPU
- Run in colab seems that there's a ModuleNotFoundError related to the MultiScaleDeformableAttention module.
- Poor Output image quality
- Mask loss with soft labels
- Custom dataset registration to use a model trained on Cityscapes for semantic segmentation.
- How should I fix the input size during testing? HOT 3
- Could you please let me know if anyone has successfully trained using the YouTube VIS 2021 dataset? How should the dataset be formatted?
- How to train only the semantic segmentation weights of ade20k?
- RuntimeError: d.is_cuda() INTERNAL ASSERT FAILED
- Setup up for fine-tuning of mask2former for binary segmentation using low-rank adaptation
- Division by zero caused by mask operation
- AP/AR result from the inference results.json in video instance segmentation
- how to understand predicting mask_embed using only query_feat
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