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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2023 |
| arxiv 2306.16551 |
| This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity | David Haldimann, Hermann Blum, Roland Siegwart | 2019 | arxiv 1909.00676 |
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| DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds | Yanfei Su, Weiquan Liu, Zhimin Yuan | 2021 | arxiv 2106.00376 |
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| Multi-Domain Incremental Learning for Semantic Segmentation | Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian | 2021 | arxiv 2110.12205 |
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| Few-shot semantic segmentation via mask aggregation | Wei Ao, Shunyi Zheng, Yan Meng | 2022 | arxiv 2202.07231 |
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| GOSS: Towards Generalized Open-set Semantic Segmentation | Jie Hong, Weihao Li, Junlin Han | 2022 | arxiv 2203.12116 |
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| GroupViT: Semantic Segmentation Emerges from Text Supervision | Jiarui Xu, Shalini De Mello, Sifei Liu | 2022 | arxiv 2202.11094 |
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| Context-Aware Domain Adaptation in Semantic Segmentation | Jinyu Yang, Weizhi An, Chaochao Yan | 2020 | arxiv 2003.04010 |
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| SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation | Mengcheng Lan, Xinjiang Wang, Yiping Ke | 2023 | arxiv 2310.17874 |
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| TAG: Guidance-free Open-Vocabulary Semantic Segmentation | Yasufumi Kawano, Yoshimitsu Aoki | 2024 | arxiv 2403.11197 |
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| Off-Road LiDAR Intensity Based Semantic Segmentation | Kasi Viswanath, Peng Jiang, Sujit PB | 2024 | arxiv 2401.01439 |
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