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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Title | Authors | Year | Source |
|---|---|---|---|
| BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations | Daiqing Li, Huan Ling, Seung Wook Kim | 2022 | arxiv 2201.04684 |
| Greedy Layerwise Learning Can Scale to ImageNet | Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon | 2018 | arxiv 1812.11446 |
| Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory | Justin Cui, Ruochen Wang, Si Si | 2022 | arxiv 2211.10586 |
| ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object | Chenshuang Zhang, Fei Pan, Junmo Kim | 2024 | arxiv 2403.18775 |
| N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras | Junho Kim, Jaehyeok Bae, Gangin Park | 2021 | arxiv 2112.01041 |
| Mark My Words: Dangers of Watermarked Images in ImageNet | Kirill Bykov, Klaus-Robert Müller, Marina M.-C. Höhne | 2023 | arxiv 2303.05498 |
| Flaws of ImageNet, Computer Vision's Favourite Dataset | Nikita Kisel, Illia Volkov, Katerina Hanzelkova | 2024 | arxiv 2412.00076 |
| Does progress on ImageNet transfer to real-world datasets? | Alex Fang, Simon Kornblith, Ludwig Schmidt | 2023 | arxiv 2301.04644 |
| 3D generation on ImageNet | Ivan Skorokhodov, Aliaksandr Siarohin, Yinghao Xu | 2023 | arxiv 2303.01416 |
| Do better ImageNet classifiers assess perceptual similarity better? | Manoj Kumar, Neil Houlsby, Nal Kalchbrenner | 2022 | arxiv 2203.04946 |
| Speedrunning ImageNet Diffusion |
| Swayam Bhanded |
| 2025 |
| arxiv 2512.12386 |
| ImageNet MPEG-7 Visual Descriptors - Technical Report | Frédéric Rayar | 2017 | arxiv 1702.00187 |
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| Do Better ImageNet Models Transfer Better... for Image Recommendation? | Felipe del Rio, Pablo Messina, Vicente Dominguez | 2018 | arxiv 1807.09870 |
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| What makes ImageNet good for transfer learning? | Minyoung Huh, Pulkit Agrawal, Alexei A. Efros | 2016 | arxiv 1608.08614 |
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| Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations | Gregor Geigle, Radu Timofte, Goran Glavaš | 2023 | arxiv 2306.08658 |
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| From ImageNet to Image Classification: Contextualizing Progress on Benchmarks | Dimitris Tsipras, Shibani Santurkar, Logan Engstrom | 2020 | arxiv 2005.11295 |
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| VQ3D: Learning a 3D-Aware Generative Model on ImageNet | Kyle Sargent, Jing Yu Koh, Han Zhang | 2023 | arxiv 2302.06833 |
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| ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations | Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero | 2022 | arxiv 2211.01866 |
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| What Values Do ImageNet-trained Classifiers Enact? | Will Penman, Joshua Babu, Abhinaya Raghunathan | 2024 | arxiv 2402.04911 |
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| ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy | Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu | 2023 | arxiv 2311.09215 |
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