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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Xinyi Shang, Peng Sun, Fengyuan Liu |
| 2025 |
| arxiv 2505.14117 |
| AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling | Ting-Wu Chin, Ruizhou Ding, Diana Marculescu | 2019 | arxiv 1902.02910 |
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| Black-Box Adversarial Attack with Transferable Model-based Embedding | Zhichao Huang, Tong Zhang | 2019 | arxiv 1911.07140 |
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| Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? | Amaya Gallagher-Syed, Elena Pontarini, Myles J. Lewis | 2024 | arxiv 2410.21560 |
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| Exploring the Limits of Deep Image Clustering using Pretrained Models | Nikolas Adaloglou, Felix Michels, Hamza Kalisch | 2023 | arxiv 2303.17896 |
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| MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains | Yuwen Chen, Helen Zhou, Zachary C. Lipton | 2023 | arxiv 2311.09401 |
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| RandoMix: A mixed sample data augmentation method with multiple mixed modes | Xiaoliang Liu, Furao Shen, Jian Zhao | 2022 | arxiv 2205.08728 |
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| Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries | Frederic Jonske, Moon Kim, Enrico Nasca | 2023 | arxiv 2306.17555 |
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| Improving Classifier Confidence using Lossy Label-Invariant Transformations | Sooyong Jang, Insup Lee, James Weimer | 2020 | arxiv 2011.04182 |
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| Can Vision Transformers Learn without Natural Images? | Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto | 2021 | arxiv 2103.13023 |
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