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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
MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and ModalitiesShishir Muralidhara, Didier Stricker, René Schuster2026arxiv 2605.03555
RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic SegmentationChanseul Cho, Seokju Yun, Jeaseong Jeon2026arxiv 2603.28142
4D Radar Semantic Segmentation of People in Field Conditions Using Temporal Multi-View NetworksMikael Skog, Oleksandr Kotlyar, Vladimír Kubelka2024arxiv 2404.05307
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid PoolingLixiang Ru, Bo Du, Yibing Zhan2022arxiv 2202.04812
Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing DataOnur Tasar, Yuliya Tarabalka, Pierre Alliez2018arxiv 1810.12448
3D forest semantic segmentation using multispectral LiDAR and 3D deep learningNarges Takhtkeshha, Lauris Bocaux, Lassi Ruoppa2025arxiv 2507.08025
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic SegmentationDing Zhong, Xu Zheng, Chenfei Liao2025arxiv 2503.07098
An Efficient Semantic Segmentation Decoder for In-Car or Distributed ApplicationsDanish Nazir, Gowtham Sai Inti, Timo Bartels2025arxiv 2510.16747
Automated Linear Disturbance Mapping via Semantic Segmentation of Sentinel-2 ImageryAndrew M. Nagel, Anne Webster, Christopher Henry2024arxiv 2409.12817
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic SegmentationTao Chen, Yazhou Yao, Jinhui Tang2023arxiv 2305.05154
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic SegmentationYoungmin Oh, Donghyeon Baek, Bumsub Ham2022arxiv 2210.06816
A Network Structure to Explicitly Reduce Confusion Errors in Semantic SegmentationQichuan Geng, Xinyu Huang, Zhong Zhou2018arxiv 1808.00313
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic SegmentationHaobin Tan, Chang Chen, Xinyu Luo2021arxiv 2108.07007
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-StereoMichael Kölle, Dominik Laupheimer, Stefan Schmohl2021arxiv 2102.05346
Pseudo-Label Noise Suppression Techniques for Semi-Supervised Semantic SegmentationSebastian Scherer, Robin Schön, Rainer Lienhart2022arxiv 2210.10426
Unsupervised semantic segmentation of urban high-density multispectral point cloudsOona Oinonen, Lassi Ruoppa, Josef Taher2024arxiv 2410.18520
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentationValerio Marsocci, Simone Scardapane2022arxiv 2205.11319
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic SegmentationTong Shen, Dong Gong, Wei Zhang2019arxiv 1907.12282
Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop FrameworkPeng Zhang, Songru Yang, Jinsheng Sun2025arxiv 2508.04962
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge DistillationChengjia Jiang, Tao Wang, Sien Li2023arxiv 2308.02790