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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Sukmin Yun, Hankook Lee, Jaehyung Kim |
| 2022 |
| arxiv 2206.07990 |
| Two Stream Scene Understanding on Graph Embedding | Wenkai Yang, Wenyuan Sun, Runxaing Huang | 2023 | arxiv 2311.06746 |
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| Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models | Yimeng Li, Navid Rajabi, Sulabh Shrestha | 2023 | arxiv 2311.10883 |
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| ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions | Chunlong Xia, Xinliang Wang, Feng Lv | 2024 | arxiv 2403.07392 |
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| Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation | Anqi Zhang, Guangyu Gao | 2024 | arxiv 2407.09838 |
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| 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks | Dongshuo Yin, Leiyi Hu, Bin Li | 2024 | arxiv 2408.08345 |
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| 2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification | Jingwei Zhang, Anh Tien Nguyen, Xi Han | 2024 | arxiv 2412.00678 |
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| GroupMamba: Efficient Group-Based Visual State Space Model | Abdelrahman Shaker, Syed Talal Wasim, Salman Khan | 2024 | arxiv 2407.13772 |
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| SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation | Bin Xie, Jiale Cao, Jin Xie | 2023 | arxiv 2311.15537 |
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| Softmax-free Linear Transformers | Jiachen Lu, Junge Zhang, Xiatian Zhu | 2022 | arxiv 2207.03341 |
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