SOTA2 Research · papers

Papers for “semantic segmentation”

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20 indexed

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