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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Santiago Rivier, Carlos Hinojosa, Silvio Giancola |
| 2023 |
| arxiv 2309.05490 |
| Learning Dilation Factors for Semantic Segmentation of Street Scenes | Yang He, Margret Keuper, Bernt Schiele | 2017 | arxiv 1709.01956 |
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| GSANet: Semantic Segmentation with Global and Selective Attention | Qingfeng Liu, Mostafa El-Khamy, Dongwoon Bai | 2020 | arxiv 2003.00830 |
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| Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection | Yuxiang Zhang, Sachin Mehta, Anat Caspi | 2021 | arxiv 2101.08418 |
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| Feature Reuse and Fusion for Real-time Semantic segmentation | Tan Sixiang | 2021 | arxiv 2105.12964 |
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| Side Adapter Network for Open-Vocabulary Semantic Segmentation | Mengde Xu, Zheng Zhang, Fangyun Wei | 2023 | arxiv 2302.12242 |
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| Universal Semantic Segmentation for Fisheye Urban Driving Images | Yaozu Ye, Kailun Yang, Kaite Xiang | 2020 | arxiv 2002.03736 |
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| EV-SegNet: Semantic Segmentation for Event-based Cameras | Iñigo Alonso, Ana C. Murillo | 2018 | arxiv 1811.12039 |
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| Joint Calibration for Semantic Segmentation | Holger Caesar, Jasper Uijlings, Vittorio Ferrari | 2015 | arxiv 1507.01581 |
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| Compensation Learning in Semantic Segmentation | Timo Kaiser, Christoph Reinders, Bodo Rosenhahn | 2023 | arxiv 2304.13428 |
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