Research

Papers for “semantic segmentation”

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

Title	Authors	Year	Source
Improving Semantic Segmentation of Aerial Images Using Patch-based Attention	Lei Ding, Hao Tang, Lorenzo Bruzzone	2019	arxiv 1911.08877
Learning a Semantic Calibration Network for Open-Vocabulary Semantic Segmentation	Yang Sun, Tao Wang, Anastasia Ioannou	2026	arxiv 2606.08001
Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation	Ali Zia, Muhammad Umer Ramzan, Abdelwahed Khamis	2026	arxiv 2606.31609
Prototypical Few-Shot Medical Image Semantic Segmentation with Background Fusion	Yuan Dong, Xiaoyu Yu, Wentao Wan	2024	arxiv 2412.02983
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation	Tao Lian, Jose L. Gómez, Antonio M. López	2024	arxiv 2406.18809
Open-vocabulary Semantic Segmentation with Frozen Vision-Language Models	Chaofan Ma, Yuhuan Yang, Yanfeng Wang	2022	arxiv 2210.15138
Revisiting Continual Semantic Segmentation with Pre-trained Vision Models	Duzhen Zhang, Yong Ren, Wei Cong	2025	arxiv 2508.04267
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation	Xu Yin, Woobin Im, Dongbo Min	2024	arxiv 2406.15755
Semantic Segmentation of Anomalous Diffusion Using Deep Convolutional Networks	Xiang Qu, Yi Hu, Wenjie Cai	2023	arxiv 2305.05618
Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation	Xiaopei Wu, Yuenan Hou, Junkai Xu	2026	arxiv 2606.25278
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter	Kentaro Wada, Kei Okada, Masayuki Inaba	2020	arxiv 2001.07481
RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging	Ali Hatamizadeh, Hamid Hosseini, Niraj Patel	2022	arxiv 2203.14928
Evaluating the Impact of Radiographic Noise on Chest X-ray Semantic Segmentation and Disease Classification Using a Scalable Noise Injection Framework	Derek Jiu, Kiran Nijjer, Nishant Chinta	2025	arxiv 2509.25265
LSKSANet: A Novel Architecture for Remote Sensing Image Semantic Segmentation Leveraging Large Selective Kernel and Sparse Attention Mechanism	Miao Fu, Feng Gao, Ruzhuang Hua	2024	arxiv 2406.01228
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs	Racheal Mukisa, Arvind K. Bansal	2025	arxiv 2506.20689
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation	Lihe Yang, Wei Zhuo, Lei Qi	2021	arxiv 2106.05095
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation	Kaihong Wang, Donghyun Kim, Rogerio Feris	2022	arxiv 2211.14703
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation	Rongtao Xu, Changwei Wang, Jiaxi Sun	2023	arxiv 2302.13765
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving	Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu	2020	arxiv 2008.04751
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation	Robin Chan, Matthias Rottmann, Fabian Hüger	2019	arxiv 1901.08394

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