Comments (6)
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
from mixformer.
MixFormer-ViT预计什么时候公布呢?
from mixformer.
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?
from mixformer.
Our paper on MixViT is under preparation. Please stay tuned.
from mixformer.
Thanks, it is very worthwhile to follow your work.
from mixformer.
Thanks for your attention. Code and models for MixViT and MixViT-ConvMAE have been released.
from mixformer.
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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from mixformer.