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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| arxiv 2507.14596 |
| Prototype Guided Network for Anomaly Segmentation | Yiqing Hao, Yi Jin, Gaoyun An | 2022 | arxiv 2201.05869 |
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| SphNet: A Spherical Network for Semantic Pointcloud Segmentation | Lukas Bernreiter, Lionel Ott, Roland Siegwart | 2022 | arxiv 2210.13992 |
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| Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection | Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner | 2016 | arxiv 1612.01337 |
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| Physics-Based Rendering for Improving Robustness to Rain | Shirsendu Sukanta Halder, Jean-François Lalonde, Raoul de Charette | 2019 | arxiv 1908.10335 |
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| Panoptic Feature Pyramid Networks | Alexander Kirillov, Ross Girshick, Kaiming He | 2019 | arxiv 1901.02446 |
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| Stochastic Segmentation with Conditional Categorical Diffusion Models | Lukas Zbinden, Lars Doorenbos, Theodoros Pissas | 2023 | arxiv 2303.08888 |
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| Learning Panoptic Segmentation from Instance Contours | Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu | 2020 | arxiv 2010.11681 |
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| Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss | Annika Mütze, Matthias Rottmann, Hanno Gottschalk | 2022 | arxiv 2208.08815 |
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| HEM: a margin-based loss for visual categorisation tasks | Michael W. Spratling, Heiko H. Schütt | 2025 | arxiv 2501.12191 |
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| Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras | Divam Gupta | 2023 | arxiv 2307.13215 |
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