Comments (6)
yutaocui
commented on August 25, 2024
我们后面期刊会扩展为MixFormer-ViT的结构，对不同的模块进行了探究，其中MixFormer-ViT-288不加online能达到90+FPS。至于onnx这个操作我们后面可能也会有同学来负责做一下这个。欢迎关注
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Bigelephant0
commented on August 25, 2024
MixFormer-ViT预计什么时候公布呢？
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RelayZ
commented on August 25, 2024
MixViT在got10k-LeaderBoard霸榜将近一个月了。非常希望能够拜读一下您的最新论文，可以提前发表在arxiv吗？
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wanglimin
commented on August 25, 2024
Our paper on MixViT is under preparation. Please stay tuned.
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RelayZ
commented on August 25, 2024
Thanks, it is very worthwhile to follow your work.
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yutaocui
commented on August 25, 2024
Thanks for your attention. Code and models for MixViT and MixViT-ConvMAE have been released.
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Related Issues (20)
- Where are the CVT models? HOT 1
- Stage 2 training HOT 7
- Multiple static targets HOT 4
- MixViT CovMAE HOT 1
- Model weights of MixViT-L HOT 4
- test on my own dataset HOT 2
- Could you please open-source the TrackMae pre-training code as soon as possible?
- Question about code of q,k,v split
- Process multiple templates in a batch HOT 1
- MixFormer attention question (please...) HOT 1
- Mixformer ONNX export tool
- Score prediction module
- the cuda version cudatoolkit=10.2
- Performance on GOT-10k HOT 4
- Use pretrained model on CPU HOT 2
- from test.evaluation.environment import EnvSettings ModuleNotFoundError: No module named 'test.evaluation'; 'test' is not a package
- Can we run it on windows wiht torch 2.0.1 ? HOT 1
- 有关指标计算
- About training on your own dataset
- Test on our own dataset with multiple instances per video HOT 3
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