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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov |
| 2021 |
| arxiv 2108.00784 |
| Confidence Composition for Monitors of Verification Assumptions | Ivan Ruchkin, Matthew Cleaveland, Radoslav Ivanov | 2021 | arxiv 2111.03782 |
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| Outline Objects using Deep Reinforcement Learning | Zhenxin Wang, Sayan Sarcar, Jingxin Liu | 2018 | arxiv 1804.04603 |
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| Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh | 2019 | arxiv 1909.02201 |
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| RaDL: Relation-aware Disentangled Learning for Multi-Instance Text-to-Image Generation | Geon Park, Seon Bin Kim, Gunho Jung | 2025 | arxiv 2507.11947 |
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| Stable Online Control of Linear Time-Varying Systems | Guannan Qu, Yuanyuan Shi, Sahin Lale | 2021 | arxiv 2104.14134 |
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| WaveFuse: A Unified Deep Framework for Image Fusion with Discrete Wavelet Transform | Shaolei Liu, Manning Wang, Zhijian Song | 2020 | arxiv 2007.14110 |
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| Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network | Daan de Geus, Panagiotis Meletis, Gijs Dubbelman | 2018 | arxiv 1809.02110 |
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| Noisy Annotations in Semantic Segmentation | Moshe Kimhi, Omer Kerem, Eden Grad | 2024 | arxiv 2406.10891 |
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| No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages | Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad | 2024 | arxiv 2411.03769 |
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