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ldkong1205 / Robo3D

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
https://ldkong.com/Robo3D
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Suggestions for comparing contemporaneous and similar work #1

Open cuge1995 opened 1 year ago

cuge1995 commented 1 year ago

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023

ldkong1205 commented 1 year ago

Hi Jinlai, thanks for your suggestion and congratulations on the acceptance!

We will review this paper first and list the differences and similarities under this issue.

yanx27 commented 1 year ago

@ldkong1205 Hi, Lingdong, thanks for your work. I think the experimental design in this paper (especially for semantic segmentation) bears several resemblance to earlier research Benchmarking the Robustness of LiDAR Semantic Segmentation Models that released in 2023.01. I hope you can claim the difference in your revised version.

ldkong1205 commented 1 year ago

@ldkong1205 Hi, Lingdong, thanks for your work. I think the experimental design in this paper (especially for semantic segmentation) bears several resemblance to earlier research Benchmarking the Robustness of LiDAR Semantic Segmentation Models that released in 2023.01. I hope you can claim the difference in your revised version.

Hi @yanx27, thanks for your suggestion! We will take into consideration the differences and similarities of your suggested work in our revised paper.

ldkong1205 commented 1 year ago

Hi Jinlai (@cuge1995) and Xu (@yanx27), so sorry for the late response!

I had a busy month and finally got the time to reply to your questions. We will list the main differences and similarities between your suggested works in a table format in this issue soon.

We will also properly cite the mentioned works in our revised paper. The new version of this paper is expected to be updated in July. We will let you know once the version is updated.

Thanks again for your suggestions!