Zhaohuai Liang

Results 6 issues of Zhaohuai Liang

Hi,thank you very much for your great work! But there may be a small mistake in your metric code. Refer to Kitti benchmark for the definition of ‘D1’ is percentage...

Hi,thank you very much for your great work! The image size to test SceneFlow datasets in your paper is 960x540, ![捕获](https://user-images.githubusercontent.com/62138387/184632264-b9af22ad-65de-4d08-a519-7c3c8f295ccf.PNG) But in your code (sceneflow_dataset.py line 61), it's 960x512...

Hi,thank you very much for your great work,Whether to submit GraftNet to KITTI BenchMark? I didn't find it on KITTI BechMark(Stereo Evaluation 2012&2015) although I have run it.

Hi, Thanks a lot for your great work. It can be seen from your paper that you are aiming to enhance the generalization ability of the model, but there is...

# Summary Currently, the pipeline of updating documents in the knowledge base is to delete the old documents first, and then build the index of the new documents. However, this...

📚 documentation
💪 enhancement
size:L
lgtm