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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Pankaj Choudhury, Yogesh Aggarwal, Prabhanjan Jadhav |
| 2025 |
| arxiv 2503.01453 |
| Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation | Izumi Fujimori, Masaki Oono, Masami Shishibori | 2024 | arxiv 2404.03394 |
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| Hierarchical Dense Correlation Distillation for Few-Shot Segmentation | Bohao Peng, Zhuotao Tian, Xiaoyang Wu | 2023 | arxiv 2303.14652 |
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| StructToken : Rethinking Semantic Segmentation with Structural Prior | Fangjian Lin, Zhanhao Liang, Sitong Wu | 2022 | arxiv 2203.12612 |
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| ROI-based Deep Image Compression with Swin Transformers | Binglin Li, Jie Liang, Haisheng Fu | 2023 | arxiv 2305.07783 |
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| Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images | Nikolas Ebert, Didier Stricker, Oliver Wasenmüller | 2023 | arxiv 2308.09436 |
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| ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data | Ulyana Tkachenko, Aditya Thyagarajan, Jonas Mueller | 2023 | arxiv 2309.00832 |
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| Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume | Chuyang Shang, Tian Ma, Wanzhu Ren | 2024 | arxiv 2403.19306 |
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| Human Pose-Constrained UV Map Estimation | Matej Suchanek, Miroslav Purkrabek, Jiri Matas | 2025 | arxiv 2501.08815 |
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| Cooperating RPN's Improve Few-Shot Object Detection | Weilin Zhang, Yu-Xiong Wang, David A. Forsyth | 2020 | arxiv 2011.10142 |
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