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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Yifan Zhang, Bo Pang, Cewu Lu |
| 2022 |
| arxiv 2203.14043 |
| MP-Former: Mask-Piloted Transformer for Image Segmentation | Hao Zhang, Feng Li, Huaizhe Xu | 2023 | arxiv 2303.07336 |
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| DeepMIM: Deep Supervision for Masked Image Modeling | Sucheng Ren, Fangyun Wei, Samuel Albanie | 2023 | arxiv 2303.08817 |
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| PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation | Yizhe Ma, Fangjian Lin, Sitong Wu | 2023 | arxiv 2305.00671 |
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| Improving Visual Prompt Tuning for Self-supervised Vision Transformers | Seungryong Yoo, Eunji Kim, Dahuin Jung | 2023 | arxiv 2306.05067 |
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| Global Context Vision Transformers | Ali Hatamizadeh, Hongxu Yin, Greg Heinrich | 2022 | arxiv 2206.09959 |
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| Rethinking Spatially-Adaptive Normalization | Zhentao Tan, Dongdong Chen, Qi Chu | 2020 | arxiv 2004.02867 |
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| ORDNet: Capturing Omni-Range Dependencies for Scene Parsing | Shaofei Huang, Si Liu, Tianrui Hui | 2021 | arxiv 2101.03929 |
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| Switchable Normalization for Learning-to-Normalize Deep Representation | Ping Luo, Ruimao Zhang, Jiamin Ren | 2019 | arxiv 1907.10473 |
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| A ConvNet for the 2020s | Zhuang Liu, Hanzi Mao, Chao-Yuan Wu | 2022 | arxiv 2201.03545 |
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