SOTA2 Research · papers

Papers for “semantic segmentation”

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

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20 indexed

Title	Authors	Year	Source
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation	Reza Qorbani, Gianluca Villani, Theodoros Panagiotakopoulos	2025	arxiv 2503.21780
FoR-Net: Learning to Focus on Hard Regions for Efficient Semantic Segmentation	Sheng-Wei Chan, Hsin-Jui Pan, Chun-Po Shen	2026	arxiv 2605.02764
JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas	Sandeep Inuganti, Hideaki Kanayama, Kanta Shimizu	2026	arxiv 2603.06168
Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation	Ye Huang, Di Kang, Wenjing Jia	2021	arxiv 2101.07434
Federated Incremental Semantic Segmentation	Jiahua Dong, Duzhen Zhang, Yang Cong	2023	arxiv 2304.04620
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial Images	Bilel Benjdira, Yakoub Bazi, Anis Koubaa	2019	arxiv 1905.03198
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving	Gharbi Khamis Alshammari, Ahmad Abubakar, Nada M.O. Sid Ahmed	2025	arxiv 2504.18939
TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation	Ruiping Liu, Kailun Yang, Alina Roitberg	2022	arxiv 2202.13393
Region-Enhanced Feature Learning for Scene Semantic Segmentation	Xin Kang, Chaoqun Wang, Xuejin Chen	2023	arxiv 2304.07486
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery