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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Jiayi Yang, Lei Deng, Yukuan Yang |
| 2020 |
| arxiv 2011.14504 |
| Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU | Shipra Jain, Danda Paudel Pani, Martin Danelljan | 2020 | arxiv 2012.07489 |
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| Visual Attention Network | Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu | 2022 | arxiv 2202.09741 |
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| Convolutional Embedding Makes Hierarchical Vision Transformer Stronger | Cong Wang, Hongmin Xu, Xiong Zhang | 2022 | arxiv 2207.13317 |
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| Mesa: A Memory-saving Training Framework for Transformers | Zizheng Pan, Peng Chen, Haoyu He | 2021 | arxiv 2111.11124 |
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| BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers | Zhiliang Peng, Li Dong, Hangbo Bao | 2022 | arxiv 2208.06366 |
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| State-of-the-art Models for Object Detection in Various Fields of Application | Syed Ali John Naqvi, Syed Bazil Ali | 2022 | arxiv 2211.00733 |
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| Could Giant Pretrained Image Models Extract Universal Representations? | Yutong Lin, Ze Liu, Zheng Zhang | 2022 | arxiv 2211.02043 |
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| Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information | Weijie Su, Xizhou Zhu, Chenxin Tao | 2022 | arxiv 2211.09807 |
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| Positive-Negative Equal Contrastive Loss for Semantic Segmentation | Jing Wang, Jiangyun Li, Wei Li | 2022 | arxiv 2207.01417 |
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