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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Audio-to-Image Cross-Modal Generation |
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| Maciej \.Zelaszczyk, Jacek Mańdziuk |
| 2021 |
| arxiv 2109.13354 |
| Shifted Windows Transformers for Medical Image Quality Assessment | Caner Ozer, Arda Guler, Aysel Turkvatan Cansever | 2022 | arxiv 2208.06034 |
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| ActionFormer: Localizing Moments of Actions with Transformers | Chenlin Zhang, Jianxin Wu, Yin Li | 2022 | arxiv 2202.07925 |
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| Can Language Understand Depth? | Renrui Zhang, Ziyao Zeng, Ziyu Guo | 2022 | arxiv 2207.01077 |
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| PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch | Ke Xu, Yao Xiao, Zhaoheng Zheng | 2022 | arxiv 2207.01795 |
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| On the Activation Function Dependence of the Spectral Bias of Neural Networks | Qingguo Hong, Jonathan W. Siegel, Qinyang Tan | 2022 | arxiv 2208.04924 |
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| Transfering Low-Frequency Features for Domain Adaptation | Zhaowen Li, Xu Zhao, Chaoyang Zhao | 2022 | arxiv 2208.14706 |
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| Learning Deep Optimal Embeddings with Sinkhorn Divergences | Soumava Kumar Roy, Yan Han, Mehrtash Harandi | 2022 | arxiv 2209.06469 |
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| Semantic Segmentation using Neural Ordinary Differential Equations | Seyedalireza Khoshsirat, Chandra Kambhamettu | 2022 | arxiv 2209.08667 |
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| OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images | Bingchen Zhao, Shaozuo Yu, Wufei Ma | 2021 | arxiv 2111.14341 |
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