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
A Robotic 3D Perception System for Operating Room Environment Awareness	Zhaoshuo Li, Amirreza Shaban, Jean-Gabriel Simard	2020	arxiv 2003.09487
Semi-supervised few-shot learning for medical image segmentation	Abdur R Feyjie, Reza Azad, Marco Pedersoli	2020	arxiv 2003.08462
Robust Dense Mapping for Large-Scale Dynamic Environments	Ioan Andrei Bârsan, Peidong Liu, Marc Pollefeys	2019	arxiv 1905.02781
HFT: Lifting Perspective Representations via Hybrid Feature Transformation	Jiayu Zou, Junrui Xiao, Zheng Zhu	2022	arxiv 2204.05068
Structured Binary Neural Networks for Image Recognition	Bohan Zhuang, Chunhua Shen, Mingkui Tan	2019	arxiv 1909.09934
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles	Zhaoyuan Yang, Yewteck Tan, Shiraj Sen	2022	arxiv 2209.11115
MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning	Tong Wang, Guanzhou Chen, Xiaodong Zhang	2025	arxiv 2506.09327
Solving Scene Understanding for Autonomous Navigation in Unstructured Environments	Naveen Mathews Renji, Kruthika K, Manasa Keshavamurthy	2025	arxiv 2507.20389
Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation	Kaibin Zhou, Kaifeng Huang, Hao Deng	2025	arxiv 2502.16421
FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment	Kazi Shahriar Sanjid, Md. Tanzim Hossain, Md. Shakib Shahariar Junayed	2024	arxiv 2404.17235