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Is the code of your another paper "Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation" ready? Really looking forward to have a try. Thank you very much for your contribution.
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Are you sure that this method is faster than HRNet?
I have tried both with yolov5 as the detector in trt inference.
HRNet achieves around 30-35 fps while VitPose can reach 7 fps at the same video wi…
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HRNet
《Deep High-Resolution Representation Learning for Human Pose Estimation》
1. [简介](#简介)
2. [方法](#方法)
3. [实验](#实验)
4. [思考](#思考)
5. [参考文献](#参考文献)
### 简介
- Paper: [CVPR201…
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Hi,
I have trained OCR on cityscapes many times with different hyperparameters, however, I still cannot get wanted mIoU which is 81.60% (and the highest one I got was 81.54%), I have changed batch …
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Hi,
Really impressive work with ROMP and BEV!
I was wondering generally around both implementations - why do you decide to create a dense parameter map for things like smpl rotations / body cent…
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I got cuda out of memory every time I continued training. But I won't get error if I load initial weight and train from the first epoch.
I used my own dataset, but I thought is more likely something…
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![实验结果1](https://user-images.githubusercontent.com/46188762/208602927-9426c268-0942-4fb6-a412-a9ca82b07696.png)
![论文官方结果](https://user-images.githubusercontent.com/46188762/208604108-48df8cda-6285-…
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hi,thank your code.
Can this model be converted to Library or tensorRT?
hope your relpy!
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Dear guys,
I also meet some issue about the ninja... Here is my understanding:
- This project uses [JIT](https://pytorch.org/tutorials/advanced/cpp_extension.html) coding style, which requires …
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Hello, thanks for your excellent research.
I have reproduced CID on the COCO dataset. However, the reproduced results on COCO val dataset are only 66.7% AP (Python 3.8.0, CUDA 11.4). And then I updat…