Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation	Naiyu Fang, Lemiao Qiu, Shuyou Zhang	2023	arxiv 2304.03650
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images	Lichao Mou, Xiao Xiang Zhu	2018	arxiv 1805.02091
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation	Dominik Hollidt, Clinton Wang, Polina Golland	2023	arxiv 2310.05133
Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste	Qinfeng Zhu, Ningxin Weng, Lei Fan	2024	arxiv 2407.17028
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing	Yoshikatsu Nakajima, Byeongkeun Kang, Hideo Saito	2019	arxiv 1907.10008
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation	Donald Shenaj, Francesco Barbato, Umberto Michieli	2022	arxiv 2201.06974
Prototypical Progressive Alignment and Reweighting for Generalizable Semantic Segmentation	Yuhang Zhang, Zhengyu Zhang, Muxin Liao	2025	arxiv 2507.11955
Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation	Ping Li, Junjie Chen, Binbin Lin	2023	arxiv 2306.10364
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation	KwanYong Park, Sanghyun Woo, Inkyu Shin	2021	arxiv 2110.04111
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation	Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang	2022	arxiv 2204.12667
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators	Yuan-Chia Cheng, Zu-Yun Shiau, Fu-En Yang	2023	arxiv 2302.09561
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar	Prannay Kaul, Daniele De Martini, Matthew Gadd	2020	arxiv 2004.03451
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation	Kuangqi Zhou, Qibin Hou, Zun Li	2020	arxiv 2006.07834
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation	Eojindl Yi, Juyoung Yang, Junmo Kim	2022	arxiv 2205.11419
Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation	Xinhui Li, Xiaojie Guo	2025	arxiv 2508.03007
Optimizing against Infeasible Inclusions from Data for Semantic Segmentation through Morphology	Shamik Basu, Luc Van Gool, Christos Sakaridis	2024	arxiv 2408.14672
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation	Weixuan Sun, Jing Zhang, Nick Barnes	2021	arxiv 2110.14309
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images	Edoardo Arnaudo, Fabio Cermelli, Antonio Tavera	2021	arxiv 2112.03814
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation	Jeongin Kim, Wonho Bae, YouLee Han	2025	arxiv 2510.22229
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation	Tianxiao Gao, Wu Wei, Zhongbin Cai	2021	arxiv 2107.13800

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