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
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation	Rui Gong, Yuhua Chen, Danda Pani Paudel	2020	arxiv 2012.08278
Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation	Liat Sless, Gilad Cohen, Bat El Shlomo	2019	arxiv 1904.00415
Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes	Siyu Chen, Ting Han, Changshe Zhang	2024	arxiv 2409.07995
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images	Rui Li, Shunyi Zheng, Chenxi Duan	2020	arxiv 2011.14302
Out-of-Distribution Detection in LiDAR Semantic Segmentation Using Epistemic Uncertainty from Hierarchical GMMs	Hanieh Shojaei Miandashti, Claus Brenner	2025	arxiv 2510.08631
Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision	Yajie Liu, Pu Ge, Qingjie Liu	2024	arxiv 2403.03707
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion	Shiqi Tan, Hamidreza Fazlali, Yixuan Xu	2024	arxiv 2407.09697
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization	Xiaoyang Yu, Xiaoming Wu, Xin Wang	2025	arxiv 2505.09385
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation	M. Maruf, Arka Daw, Amartya Dutta	2023	arxiv 2308.11052

AIFloodSense: A Global Aerial Imagery Dataset for Semantic Segmentation and Understanding of Flooded Environments	Georgios Simantiris, Konstantinos Bacharidis, Apostolos Papanikolaou	2025	arxiv 2512.17432