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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2021 |
| arxiv 2107.04829 |
| Multiple Style Transfer via Variational AutoEncoder | Zhi-Song Liu, Vicky Kalogeiton, Marie-Paule Cani | 2021 | arxiv 2110.07375 |
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| BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations | Bruno Artacho, Andreas Savakis | 2021 | arxiv 2112.10716 |
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| On definable subgroups of the fundamental group | Samuel M. Corson | 2016 | arxiv 1610.00145 |
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| Learning Compact Neural Networks with Deep Overparameterised Multitask Learning | Shen Ren, Haosen Shi | 2023 | arxiv 2308.13300 |
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| Context-Aware Automatic Occlusion Removal | Kumara Kahatapitiya, Dumindu Tissera, Ranga Rodrigo | 2019 | arxiv 1905.02710 |
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| All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting | Hao Wang, Pu Lu, Hui Zhang | 2019 | arxiv 1911.09550 |
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| Condition-Aware Neural Network for Controlled Image Generation | Han Cai, Muyang Li, Zhuoyang Zhang | 2024 | arxiv 2404.01143 |
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| Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data | Miroslav Purkrabek, Jiri Matas | 2023 | arxiv 2307.06737 |
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| LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation | Mohammad Abuzar Hashemi, Zhanghexuan Li, Mihir Chauhan | 2021 | arxiv 2109.04993 |
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