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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari |
| 2020 |
| arxiv 2009.00191 |
| Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations | Mobarakol Islam, Ben Glocker | 2021 | arxiv 2104.05788 |
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| Self-Supervised Learning with Swin Transformers | Zhenda Xie, Yutong Lin, Zhuliang Yao | 2021 | arxiv 2105.04553 |
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| A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation | Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar | 2021 | arxiv 2105.10129 |
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| Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks | Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu | 2021 | arxiv 2105.02358 |
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| Vision Transformers with Patch Diversification | Chengyue Gong, Dilin Wang, Meng Li | 2021 | arxiv 2104.12753 |
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| Online Reflective Learning for Robust Medical Image Segmentation | Yuhao Huang, Xin Yang, Xiaoqiong Huang | 2022 | arxiv 2207.00476 |
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| Generative Adversarial Networks and Other Generative Models | Markus Wenzel | 2022 | arxiv 2207.03887 |
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| Multimodal Token Fusion for Vision Transformers | Yikai Wang, Xinghao Chen, Lele Cao | 2022 | arxiv 2204.08721 |
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| Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion | Ashutosh Agarwal, Chetan Arora | 2022 | arxiv 2207.04535 |
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