Comments (1)
Hi @pzhren ,
Truly sorry for the late reply.
Since we don't use the ground truth mask, it's difficult to define the correct match, but we did tried some matching between text and segment tokens, which doesn't lead to the improvement.
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Related Issues (20)
- Inconsistent Results from the paper
- Parallel training hangs in reduce_tensor method HOT 1
- Learnable group tokens fine-tuning on out-of-domain datasets HOT 1
- Checkpoint for the model trained just with 1 grouping stage HOT 1
- Inquiry about the Grouping Blocks HOT 2
- error when use single node and multi gpu for training HOT 5
- background threshold issues HOT 1
- How fast can this model run?
- YFCC subset taking very long to process HOT 1
- Visualization of Concepts Learnt by Group Tokens
- output masks consistently showing the same structure HOT 5
- How to generate the mask in Figure 1 in Appendix?
- Questions about input pred label file HOT 3
- question about training setup [#GPUs].
- use gumbel softmax only for training
- How to generate image-text pairs when i want to use other datasets such as ADE20K or medical segmentation dataset? HOT 1
- Command 'apex' not found HOT 1
- AttributeError: module 'torch.nn' has no attribute 'backends'
- Open-vocabulary semantic segmentation HOT 1
- Are there any plans to retrain a version with larger data and parameter scale?
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from groupvit.