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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2020 |
| arxiv 2012.02327 |
| Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification | Fanjie Kong, Xiao-yang Liu, Ricardo Henao | 2021 | arxiv 2101.03154 |
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| A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels | Marcus Klasson, Cheng Zhang, Hedvig Kjellström | 2019 | arxiv 1901.00711 |
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| This Looks Like That: Deep Learning for Interpretable Image Recognition | Chaofan Chen, Oscar Li, Chaofan Tao | 2018 | arxiv 1806.10574 |
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| Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network | Divinah Nyasaka, Jing Wang, Haron Tinega | 2020 | arxiv 2002.02585 |
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| Knowledge Mining with Scene Text for Fine-Grained Recognition | Hao Wang, Junchao Liao, Tianheng Cheng | 2022 | arxiv 2203.14215 |
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| FlowNAS: Neural Architecture Search for Optical Flow Estimation | Zhiwei Lin, Tingting Liang, Taihong Xiao | 2022 | arxiv 2207.01271 |
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| Work In Progress: Safety and Robustness Verification of Autoencoder-Based Regression Models using the NNV Tool | Neelanjana Pal, Taylor T Johnson | 2022 | arxiv 2207.06759 |
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| Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation | Tong Wu, Tianhao Wang, Vikash Sehwag | 2022 | arxiv 2207.10825 |
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| Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs | Yunqi Hong, Sohyun An, Andrew Bai | 2025 | arxiv 2506.03195 |
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| Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks | Ben Hamscher, Edgar Heinert, Annika Mütze | 2025 | arxiv 2507.10239 |
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