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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness |
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| Giulio Lovisotto, Nicole Finnie, Mauricio Munoz |
| 2022 |
| arxiv 2203.13639 |
| Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions | Xuan Cheng, Tianshu Xie, Xiaomin Wang | 2021 | arxiv 2103.15383 |
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| TeachAugment: Data Augmentation Optimization Using Teacher Knowledge | Teppei Suzuki | 2022 | arxiv 2202.12513 |
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| Mix-up Self-Supervised Learning for Contrast-agnostic Applications | Yichen Zhang, Yifang Yin, Ying Zhang | 2022 | arxiv 2204.00901 |
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| MixFormer: Mixing Features across Windows and Dimensions | Qiang Chen, Qiman Wu, Jian Wang | 2022 | arxiv 2204.02557 |
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| MetaAudio: A Few-Shot Audio Classification Benchmark | Calum Heggan, Sam Budgett, Timothy Hospedales | 2022 | arxiv 2204.02121 |
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| Multiple EffNet/ResNet Architectures for Melanoma Classification | Jiaqi Xue, Chentian Ma, Li Li | 2022 | arxiv 2204.10142 |
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| EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation | Peng Zhao, Chen Li, Md Mamunur Rahaman | 2021 | arxiv 2112.07111 |
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| Obtaining Calibrated Probabilities with Personalized Ranking Models | Wonbin Kweon, SeongKu Kang, Hwanjo Yu | 2021 | arxiv 2112.07428 |
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| Causal Transportability for Visual Recognition | Chengzhi Mao, Kevin Xia, James Wang | 2022 | arxiv 2204.12363 |
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