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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures |
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| Sanghyuk Chun, Song Park |
| 2021 |
| arxiv 2108.10549 |
| Adversarial Logit Pairing | Harini Kannan, Alexey Kurakin, Ian Goodfellow | 2018 | arxiv 1803.06373 |
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| Rethinking CNN Models for Audio Classification | Kamalesh Palanisamy, Dipika Singhania, Angela Yao | 2020 | arxiv 2007.11154 |
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| Enhancing pretraining efficiency for medical image segmentation via transferability metrics | Gábor Hidy, Bence Bakos, András Lukács | 2024 | arxiv 2410.18677 |
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| SINF: Semantic Neural Network Inference with Semantic Subgraphs | A. Q. M. Sazzad Sayyed, Francesco Restuccia | 2023 | arxiv 2310.01259 |
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| Recognizing Instagram Filtered Images with Feature De-stylization | Zhe Wu, Zuxuan Wu, Bharat Singh | 2019 | arxiv 1912.13000 |
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| M\"obius Transform for Mitigating Perspective Distortions in Representation Learning | Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De | 2024 | arxiv 2405.02296 |
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| Self-supervised learning for skin cancer diagnosis with limited training data | Hamish Haggerty, Rohitash Chandra | 2024 | arxiv 2401.00692 |
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| Scene recognition with CNNs: objects, scales and dataset bias | Luis Herranz, Shuqiang Jiang, Xiangyang Li | 2018 | arxiv 1801.06867 |
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| CvT: Introducing Convolutions to Vision Transformers | Haiping Wu, Bin Xiao, Noel Codella | 2021 | arxiv 2103.15808 |
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