Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation	Jieyi Tan, Yansheng Li, Sergey A. Bartalev	2024	arxiv 2404.09292
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers	Rui Gong, Qin Wang, Dengxin Dai	2022	arxiv 2212.07292
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention	Jiahui Wang, Haiyue Zhu, Haoren Guo	2023	arxiv 2302.10501
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization	Wentao Pan, Zhe Xu, Jiangpeng Yan	2023	arxiv 2312.08631
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Xu Zheng, Jinjing Zhu, Yexin Liu	2023	arxiv 2303.14360
WakeupUrban: Unsupervised Semantic Segmentation of Mid-20$^{th}$ century Urban Landscapes with Satellite Imagery	Tianxiang Hao, Lixian Zhang, Yingjia Zhang	2025	arxiv 2506.09476
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation	Fei Pan, Sungsu Hur, Seokju Lee	2022	arxiv 2207.09045
Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation	Andrej Janda, Pierre Merriaux, Pierre Olivier	2023	arxiv 2305.04334
CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation	Shilei Cao, Ziyang Gong, Hehai Lin	2025	arxiv 2511.20302
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning	Xinyu Luo, Jiaming Zhang, Kailun Yang	2022	arxiv 2203.10395
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference	Yang Liu, Ersi Zhang, Lulu Xu	2022	arxiv 2205.04227
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation	Junhao Dong, Zhu Meng, Delong Liu	2023	arxiv 2307.10097
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation	Zhiwei Yang, Kexue Fu, Minghong Duan	2024	arxiv 2402.18467
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation	Jie Zhu, Huabin Huang, Banghuai Li	2021	arxiv 2112.07106
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective	Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe	2024	arxiv 2412.03630
Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic Segmentation	Daniel Fusaro, Simone Mosco, Emanuele Menegatti	2024	arxiv 2410.10510
CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas Imaging	Taminul Islam, Toqi Tahamid Sarker, Mohamed G Embaby	2025	arxiv 2506.05360
How Do Optical Flow and Textual Prompts Collaborate to Assist in Audio-Visual Semantic Segmentation?	Yujian Lee, Peng Gao, Yongqi Xu	2026	arxiv 2601.08133
Contrastive Mask Fidelity: Reference-Free Auditing of Ground-Truth Masks in Remote Sensing Semantic Segmentation	Shuaishuai Cao, Shuwei Peng, Meng Tang	2026	arxiv 2608.09101
FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation	Bernardo Forni, Gabriele Lombardi, Federico Pozzi	2025	arxiv 2509.12105

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