Papers
10 papers found
DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation
Changgyoon Oh, Hyeonseong Kim, Daehyun We et al.
Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation
Qingju Guo, Shuang Li, Jing Geng et al.
Generalized Category Discovery for LiDAR Semantic Segmentation
Minseok Kim, Jiyong Boo, Kuk-Jin Yoon
Revisiting Retentive Networks for Fast Range-View 3D LiDAR Semantic Segmentation
Simone Mosco, Daniel Fusaro, Wanmeng Li et al.
SDNet: LiDAR Semantic Scene Completion with Sparse-Dense Fusion and Input-Aware Label Refinement
Tingming Bai, Zhiyu Xiang, Peng Xu et al.
MFINet: Multi-view Fusion and 2D–3D Interaction Enhancement for Real-Time LiDAR Semantic Segmentation
Nan Ma, Zhijie Liu, Yiheng Han
xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation
Jialong Zhang, Yachao Zhang, Yao Wu et al.
Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection
Minseung Lee, Seokha Moon, Seung Joon Lee et al.
FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation
Bin Yang, Alexandru Paul Condurache
LiDAR-DHMT: LiDAR-Adaptive Dual Hierarchical Mask Transformer for Robust Freespace Detection and Semantic Segmentation
Siyu Chen, Ting Han, Changshe Zhang et al.