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
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning	Marc Schachtsiek, Simone Rossi, Thomas Hannagan	2023	arxiv 2311.14146
Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality	Menandro Roxas, Tomoki Hori, Taiki Fukiage	2017	arxiv 1707.09603
Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound Scenes	Binh Thien Nguyen, Masahiro Yasuda, Daiki Takeuchi	2025	arxiv 2503.22088
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network	Navid Hashemi, Samuel Sasaki, Diego Manzanas Lopez	2025	arxiv 2509.11838
DiSa: Saliency-Aware Foreground-Background Disentangled Framework for Open-Vocabulary Semantic Segmentation	Zhen Yao, Xin Li, Taotao Jing	2026	arxiv 2601.20064
LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection	Fei Teng, Lingxin Huang, Buyin Deng	2025	arxiv 2503.00747
BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation	Dooseop Choi, Kyounghwan An, Kyoung-Wook Min	2026	arxiv 2606.22931
Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout	Xuchen Zhu, Yajuan Wei, Shuang Hao	2026	arxiv 2607.20326
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation	Zhaozheng Chen, Tan Wang, Xiongwei Wu	2022	arxiv 2203.00962
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation