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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Active Learning at the ImageNet Scale |
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| Zeyad Ali Sami Emam, Hong-Min Chu, Ping-Yeh Chiang |
| 2021 |
| arxiv 2111.12880 |
| Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings | Brett D. Roads, Bradley C. Love | 2020 | arxiv 2011.11015 |
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| Toward Training at ImageNet Scale with Differential Privacy | Alexey Kurakin, Shuang Song, Steve Chien | 2022 | arxiv 2201.12328 |
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| Linking ImageNet WordNet Synsets with Wikidata | Finn \AArup Nielsen | 2018 | arxiv 1803.04349 |
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| Do we still need ImageNet pre-training in remote sensing scene classification? | Vladimir Risojević, Vladan Stojnić | 2021 | arxiv 2111.03690 |
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| Comparative Performance of Finetuned ImageNet Pre-trained Models for Electronic Component Classification | Yidi Shao, Longfei Zhou, Fangshuo Tang | 2025 | arxiv 2506.19330 |
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| Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes | Utku Ozbulak, Maura Pintor, Arnout Van Messem | 2021 | arxiv 2111.11056 |
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| Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results | Tal Ridnik, Hussam Lawen, Emanuel Ben-Baruch | 2022 | arxiv 2204.03475 |
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| How far can we go with ImageNet for Text-to-Image generation? | L. Degeorge, A. Ghosh, N. Dufour | 2025 | arxiv 2502.21318 |
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| The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection | Pascal Mettes, Dennis C. Koelma, Cees G. M. Snoek | 2016 | arxiv 1602.07119 |
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