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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2025 |
| arxiv 2509.11961 |
| PANICL: Mitigating Over-Reliance on Single Prompt in Visual In-Context Learning | Jiahao Zhang, Bowen Wang, Hong Liu | 2025 | arxiv 2509.21926 |
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| Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information | Qi Lai, Chi-Man Vong | 2024 | arxiv 2405.04913 |
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| Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation | Qun Li, Ziyi Zhang, Fu Xiao | 2022 | arxiv 2204.10762 |
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| Exploring Interactive Semantic Alignment for Efficient HOI Detection with Vision-language Model | Jihao Dong, Renjie Pan, Hua Yang | 2024 | arxiv 2404.12678 |
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| Expectation-Maximization Attention Networks for Semantic Segmentation | Xia Li, Zhisheng Zhong, Jianlong Wu | 2019 | arxiv 1907.13426 |
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| Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples | Philipp J. Rösch, Norbert Oswald, Michaela Geierhos | 2024 | arxiv 2403.02875 |
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| Confidence Self-Calibration for Multi-Label Class-Incremental Learning | Kaile Du, Yifan Zhou, Fan Lyu | 2024 | arxiv 2403.12559 |
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| SpiralMLP: A Lightweight Vision MLP Architecture | Haojie Mu, Burhan Ul Tayyab, Nicholas Chua | 2024 | arxiv 2404.00648 |
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| EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion | Chia-Yuan Chang, Shuo-En Chang, Pei-Yung Hsiao | 2020 | arxiv 2003.10142 |
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| Asymmetric Loss For Multi-Label Classification | Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir | 2020 | arxiv 2009.14119 |
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