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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2024 |
| arxiv 2412.06129 |
| Semantic Segmentation of Underwater Imagery: Dataset and Benchmark | Md Jahidul Islam, Chelsey Edge, Yuyang Xiao | 2020 | arxiv 2004.01241 |
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| Distilling Pixel-Wise Feature Similarities for Semantic Segmentation | Yuhu Shan | 2019 | arxiv 1910.14226 |
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| Sparse Refinement for Efficient High-Resolution Semantic Segmentation | Zhijian Liu, Zhuoyang Zhang, Samir Khaki | 2024 | arxiv 2407.19014 |
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| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | Jungbeom Lee, Jooyoung Choi, Jisoo Mok | 2021 | arxiv 2110.06530 |
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| Detecting and Learning the Unknown in Semantic Segmentation | Robin Chan, Svenja Uhlemeyer, Matthias Rottmann | 2022 | arxiv 2202.08700 |
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| Class-wise Dynamic Graph Convolution for Semantic Segmentation | Hanzhe Hu, Deyi Ji, Weihao Gan | 2020 | arxiv 2007.09690 |
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| Complementary Random Masking for RGB-Thermal Semantic Segmentation | Ukcheol Shin, Kyunghyun Lee, In So Kweon | 2023 | arxiv 2303.17386 |
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| Collaborating Foundation Models for Domain Generalized Semantic Segmentation | Yasser Benigmim, Subhankar Roy, Slim Essid | 2023 | arxiv 2312.09788 |
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| Continual Semantic Segmentation with Automatic Memory Sample Selection | Lanyun Zhu, Tianrun Chen, Jianxiong Yin | 2023 | arxiv 2304.05015 |
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| Dual-level Interaction for Domain Adaptive Semantic Segmentation | Dongyu Yao, Boheng Li | 2023 | arxiv 2307.07972 |
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