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
LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections	Xuezhi Xiang, Yibo Ning, Lei Zhang	2024	arxiv 2410.10433
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads	Rafael S. Toledo, Cristiano S. Oliveira, Vitor H. T. Oliveira	2024	arxiv 2411.16295
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation	Seunghun Lee, Wonhyeok Choi, Changjae Kim	2022	arxiv 2203.06811
Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation	Qi Yao, Xiaojin Gong	2019	arxiv 1910.05475
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation	Antoine Saporta, Tuan-Hung Vu, Matthieu Cord	2020	arxiv 2006.08658
Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models	Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal	2023	arxiv 2311.17095
Semantic Segmentation for Real-World and Synthetic Vehicle's Forward-Facing Camera Images	Tuan T. Nguyen, Phan Le, Yasir Hassan	2024	arxiv 2407.05452
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation	Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang	2021	arxiv 2111.01418
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation	Yahia Dalbah, Jean Lahoud, Hisham Cholakkal	2023	arxiv 2310.02260
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments