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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Data Augmentation Vision Transformer for Fine-grained Image Classification |
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| Chao Hu, Liqiang Zhu, Weibin Qiu |
| 2022 |
| arxiv 2211.12879 |
| Unsupervised Deep Transfer Feature Learning for Medical Image Classification | Euijoon Ahn, Ashnil Kumar, Dagan Feng | 2019 | arxiv 1903.06342 |
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| ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification | Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi | 2021 | arxiv 2111.14271 |
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| CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification | Suraj Kothawade, Atharv Savarkar, Venkat Iyer | 2022 | arxiv 2210.01520 |
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| Recurrent Neural Networks to Correct Satellite Image Classification Maps | Emmanuel Maggiori, Guillaume Charpiat, Yuliya Tarabalka | 2016 | arxiv 1608.03440 |
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| Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken | Peifu Liu, Tingfa Xu, Jie Wang | 2024 | arxiv 2407.07307 |
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| Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification | Shuai Li, Xiaoguang Ma, Shancheng Jiang | 2024 | arxiv 2403.06798 |
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| Multi-Level Correlation Network For Few-Shot Image Classification | Yunkai Dang, Min Zhang, Zhengyu Chen | 2024 | arxiv 2412.03159 |
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| Generative Classifiers as a Basis for Trustworthy Image Classification | Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe | 2020 | arxiv 2007.15036 |
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| Match Them Up: Visually Explainable Few-shot Image Classification | Bowen Wang, Liangzhi Li, Manisha Verma | 2020 | arxiv 2011.12527 |
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| CURL: Co-trained Unsupervised Representation Learning for Image Classification | Simone Bianco, Gianluigi Ciocca, Claudio Cusano | 2015 | arxiv 1505.08098 |
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