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
Multi-Scale Semantic Segmentation with Modified MBConv Blocks	Xi Chen, Yang Cai, Yuan Wu	2024	arxiv 2402.04618
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation	Jhony H. Giraldo, Vincenzo Scarrica, Antonino Staiano	2022	arxiv 2210.05564
Robust Semantic Segmentation with Superpixel-Mix	Gianni Franchi, Nacim Belkhir, Mai Lan Ha	2021	arxiv 2108.00968
Bootstrapping Semantic Segmentation with Regional Contrast	Shikun Liu, Shuaifeng Zhi, Edward Johns	2021	arxiv 2104.04465
Frequency-based Matcher for Long-tailed Semantic Segmentation	Shan Li, Lu Yang, Pu Cao	2024	arxiv 2406.03917
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning	Risa Shinoda, Ryo Hayamizu, Kodai Nakashima	2023	arxiv 2309.17083
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation	Jishnu Mukhoti, Yarin Gal	2018	arxiv 1811.12709
Fine-grained Metrics for Point Cloud Semantic Segmentation	Zhuheng Lu, Ting Wu, Yuewei Dai	2024	arxiv 2407.21289
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation	Qihang Yang, Tao Chen, Jiayuan Fan	2021	arxiv 2103.08914
SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision	Danna Xue, Fei Yang, Pei Wang	2022	arxiv 2207.06242
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer