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
Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation	Alessandro Navone, Mauro Martini, Andrea Ostuni	2023	arxiv 2304.08988
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection	Mohamed Afifi, Mohamed ElHelw	2024	arxiv 2403.03111
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation	Ibrahim Batuhan Akkaya, Ugur Halici	2022	arxiv 2212.04227
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation	Anant Khandelwal	2023	arxiv 2308.05851
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast	Xiaoke Hao, Shiyu Liu, Chuanbo Feng	2024	arxiv 2409.18543
Impact of color and mixing proportion of synthetic point clouds on semantic segmentation	Shaojie Zhou, Jia-Rui Lin, Peng Pan	2024	arxiv 2412.19145
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation	Shoumeng Qiu, Xinrun Li, XiangYang Xue	2024	arxiv 2412.14821
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation	Pan Zhang, Bo Zhang, Ting Zhang	2021	arxiv 2101.10979
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds	Li Yi, Boqing Gong, Thomas Funkhouser	2020	arxiv 2007.08488
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes