Request to Add Papers

[ldkong1205]

Hi @vasgaowei, thanks for meticulously maintaining this informative repository!

To further enhance the comprehensiveness of this repository, I would like to recommend the following papers under the category BEV Segmentation - Lidar:

• FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation (arXiv 2023) [Paper] [GitHub]
• Segment Any Point Cloud Sequences by Distilling Vision Foundation Models (NeurIPS 2023 Spotlight) [Paper] [GitHub]
• Towards Label-Free Scene Understanding by Vision Foundation Models (NeurIPS 2023) [Paper] [GitHub]
• Robo3D: Towards Robust and Reliable 3D Perception against Corruptions (ICCV 2023) [Paper] [GitHub]
• Rethinking Range View Representation for LiDAR Segmentation (ICCV 2023) [Paper]
• UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase (ICCV 2023) [Paper] [GitHub]
• LaserMix for Semi-Supervised LiDAR Semantic Segmentation (CVPR 2023 Highlight) [Paper] [GitHub]
• CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP (CVPR 2023) [Paper] [GitHub]
• ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation (ICRA 2023) [Paper] [GitHub]

Also the following paper under the category 3D Object Detection - Multiple Camera:

• Benchmarking and Analyzing Bird's Eye View Perception Robustness to Corruptions (arXiv 2023) [Paper] [GitHub]

Thanks again for your help!

[vasgaowei]

Many thanks for your comments. I will add them.