SOTA2 Research · papers

Papers for “semantic segmentation”

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

Search results

20 indexed

Title	Authors	Year	Source
R&D: Balancing Reliability and Diversity in Synthetic Data Augmentation for Semantic Segmentation	Huy Che, Dinh-Duy Phan, Duc-Khai Lam	2026	arxiv 2603.18427
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds	Chuanyu Luo, Xiaohan Li, Nuo Cheng	2022	arxiv 2201.12769
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation	Kangcheng Liu	2022	arxiv 2211.15066
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation	Luigi Musto, Andrea Zinelli	2020	arxiv 2009.01166
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation	Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan	2021	arxiv 2108.12517
Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation	Renjie Wu, Hu Wang, Feras Dayoub	2023	arxiv 2312.08673
Calibrated and Efficient Sampling-Free Confidence Estimation for LiDAR Scene Semantic Segmentation	Hanieh Shojaei Miandashti, Qianqian Zou, Claus Brenner	2024	arxiv 2411.11935
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images	Haifeng Li, Kaijian Qiu, Li Chen	2019	arxiv 1912.09121
Pixel Difference Convolutional Network for RGB-D Semantic Segmentation	Jun Yang, Lizhi Bai, Yaoru Sun	2023	arxiv 2302.11951
{\epsilon}-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data