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
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation	Yuanwei Liu, Nian Liu, Xiwen Yao	2022	arxiv 2210.06780
AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation	Jiannan Ge, Lingxi Xie, Hongtao Xie	2024	arxiv 2404.05667
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation	Wailing Tang, Biqi Yang, Pheng-Ann Heng	2025	arxiv 2501.13529
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation	Weixuan Sun, Yanhao Zhang, Zhen Qin	2023	arxiv 2308.04321
Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation	Xu Zheng, Yunhao Luo, Pengyuan Zhou	2023	arxiv 2310.07265
Metric Analysis for Spatial Semantic Segmentation of Sound Scenes	Mayank Mishra, Paul Magron, Romain Serizel	2025	arxiv 2511.07075
Instance Awareness of Multi-class Semantic Segmentation Loss Functions	Soumya Snigdha Kundu, Florian Kofler, Marina Ivory	2026	arxiv 2604.24276
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation	Sethu Hareesh Kolluru	2019	arxiv 1911.12993
End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation	Heechul Jung, Min-Kook Choi, Kwon Soon	2016	arxiv 1612.06558
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation	Sungpil Kho, Pilhyeon Lee, Wonyoung Lee