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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Zhihao Duan, Fengqing Zhu |
| 2022 |
| arxiv 2211.09897 |
| A Novel Convolutional Neural Network Architecture with a Continuous Symmetry | Yao Liu, Hang Shao, Bing Bai | 2023 | arxiv 2308.01621 |
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| Identify Apple Leaf Diseases Using Deep Learning Algorithm | Daping Zhang, Hongyu Yang, Jiayu Cao | 2021 | arxiv 2107.12598 |
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| YOLO -- You only look 10647 times | Christian Limberg, Andrew Melnik, Augustin Harter | 2022 | arxiv 2201.06159 |
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| UltraUPConvNet: A UPerNet- and ConvNeXt-Based Multi-Task Network for Ultrasound Tissue Segmentation and Disease Prediction | Zhi Chen, Le Zhang | 2025 | arxiv 2509.11108 |
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| Unsupervised Class-Incremental Learning Through Confusion | Shivam Khare, Kun Cao, James Rehg | 2021 | arxiv 2104.04450 |
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| One-Shot Learning for Semantic Segmentation | Amirreza Shaban, Shray Bansal, Zhen Liu | 2017 | arxiv 1709.03410 |
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| Bayesian posterior approximation with stochastic ensembles | Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander | 2022 | arxiv 2212.08123 |
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| Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer | Teru Nagamori, Sayaka Shiota, Hitoshi Kiya | 2024 | arxiv 2401.05126 |
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| Contrastive Learning for Regression on Hyperspectral Data | Mohamad Dhaini, Maxime Berar, Paul Honeine | 2024 | arxiv 2403.17014 |
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