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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2023 |
| arxiv 2303.04143 |
| DenseNet Models for Tiny ImageNet Classification | Zoheb Abai, Nishad Rajmalwar | 2019 | arxiv 1904.10429 |
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| Object localization in ImageNet by looking out of the window | Alexander Vezhnevets, Vittorio Ferrari | 2015 | arxiv 1501.01181 |
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| Automated Classification of Model Errors on ImageNet | Momchil Peychev, Mark Niklas Müller, Marc Fischer | 2023 | arxiv 2401.02430 |
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| Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective | Zeyuan Yin, Eric Xing, Zhiqiang Shen | 2023 | arxiv 2306.13092 |
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| ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches | Maura Pintor, Daniele Angioni, Angelo Sotgiu | 2022 | arxiv 2203.04412 |
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| XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks | Mohammad Rastegari, Vicente Ordonez, Joseph Redmon | 2016 | arxiv 1603.05279 |
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| PASS: An ImageNet replacement for self-supervised pretraining without humans | Yuki M. Asano, Christian Rupprecht, Andrew Zisserman | 2021 | arxiv 2109.13228 |
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| Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis | Iván Matas, Carmen Serrano, Miguel Nogales | 2025 | arxiv 2505.16773 |
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| Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet | Li Yuan, Yunpeng Chen, Tao Wang | 2021 | arxiv 2101.11986 |
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| Better plain ViT baselines for ImageNet-1k | Lucas Beyer, Xiaohua Zhai, Alexander Kolesnikov | 2022 | arxiv 2205.01580 |
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