Comments (7)
We used the same training steps for baseline and contrastive training. Simply change the contrastive head we provided for shot3/5/10 to a default standard RoI head, then you get the baseline config.
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Thanks for your quick replay!
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@bsun0802 , Sir, may I ask where is the config of FSCE coco shot10, I can only find the baseline? Thank you!
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We are not satisfied with the COCO performance, its only marginal compared to the strong baseline. We encourage people to research from the COCO baseline 🙌. We are working on a v2 as well.
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Sir, thanks for you quick reply, cheer up!
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@bsun0802 Excuse me, where can I find the coco novel instance json that used in the paper?
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http://dl.yf.io/fs-det/datasets/
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Related Issues (20)
- Is there a requirements document here? HOT 3
- 结果是否为多次实验取平均
- GPU: 3090, I can't install cuda10 0, how can I compile it? HOT 2
- prepare dataset error HOT 6
- python setup.py build develop HOT 13
- 1 shot and 2 shot do not use contrastive loss?
- I can not get the same results in split 1 and shot 10? I just have one gpu 3090. HOT 4
- Train on myself dataset
- AssertionError: Box regression deltas become infinite or NaN! HOT 2
- --opts KeyError: 'Non-existent config key: MODEL.WETGHTS'
- Hello~Where should this code be added?
- I have not found where requirements.txt is.
- I only have a V100 32G ,could realize this model?
- How long does the training step take?
- Where is the requirements.txt? HOT 1
- 我想知道fine tune的时候terminal会显示cl loss的变化吗(I want to know if the terminal will display the change of cl loss during fine-tuning)
- 我想知道fine tune的时候terminal会显示cl loss的变化吗(I want to know if the terminal will display the change of cl loss during fine-tuning)
- question about contrastive loss HOT 1
- do we need to change the max_iter according to the number of the shots?
- pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI HOT 1
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