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Papers for “semantic segmentation”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding SensingKailun Yang, Xinxin Hu, Hao Chen2019arxiv 1909.07721
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic SegmentationDamien Robert, Bruno Vallet, Loic Landrieu2022arxiv 2204.07548
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint LabelsTarun Kalluri, Manmohan Chandraker2022arxiv 2208.02804
Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature AlignmentShi-Chen Zhang, Yunheng Li, Yu-Huan Wu2025arxiv 2508.08811
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic ControlYuru Jia, Lukas Hoyer, Shengyu Huang2023arxiv 2312.03048
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality RobustnessChenfei Liao, Kaiyu Lei, Xu Zheng2025arxiv 2503.18445
Multi-Level Label Correction by Distilling Proximate Patterns for Semi-supervised Semantic SegmentationHui Xiao, Yuting Hong, Li Dong2024arxiv 2404.02065
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic SegmentationXinyue Chen, Miaojing Shi2024arxiv 2406.00545
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingTiago Cortinhal, George Tzelepis, Eren Erdal Aksoy2020arxiv 2003.03653
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar DataJohannes Kopp, Dominik Kellner, Aldi Piroli2023arxiv 2311.07247
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic SegmentationPeng-Tao Jiang, Yuqi Yang, Qibin Hou2022arxiv 2204.03206
TASeg: Text-aware RGB-T Semantic Segmentation based on Fine-tuning Vision Foundation ModelsMeng Yu, Te Cui, Qitong Chu2025arxiv 2506.21975
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic SegmentationYunlu Chen, Thomas Mensink, Efstratios Gavves2019arxiv 1910.01460
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path PlanningJulius Rückin, Federico Magistri, Cyrill Stachniss2023arxiv 2312.04402
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation ModelChanghong Hou, Junchuan Yu, Daqing Ge2024arxiv 2403.10127
Enhancing Reinforcement Learning in 3D Environments through Semantic Segmentation: A Case Study in ViZDoomJin Huang2025arxiv 2511.11703
STDC-MA Network for Semantic SegmentationXiaochun Lei, Linjun Lu, Zetao Jiang2022arxiv 2205.04639
IDA: Informed Domain Adaptive Semantic SegmentationZheng Chen, Zhengming Ding, Jason M. Gregory2023arxiv 2303.02741
DifNet: Semantic Segmentation by Diffusion NetworksPeng Jiang, Fanglin Gu, Yunhai Wang2018arxiv 1805.08015
Learning Dynamic Routing for Semantic SegmentationYanwei Li, Lin Song, Yukang Chen2020arxiv 2003.10401