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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Beyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty Estimation |
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| Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin |
| 2026 |
| arxiv 2604.16615 |
| Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP | Feng Liang, Bichen Wu, Xiaoliang Dai | 2022 | arxiv 2210.04150 |
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| You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection | Yuxin Fang, Bencheng Liao, Xinggang Wang | 2021 | arxiv 2106.00666 |
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| CaMEL: Mean Teacher Learning for Image Captioning | Manuele Barraco, Matteo Stefanini, Marcella Cornia | 2022 | arxiv 2202.10492 |
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| Prototype Mixture Models for Few-shot Semantic Segmentation | Boyu Yang, Chang Liu, Bohao Li | 2020 | arxiv 2008.03898 |
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| LLM-Guided Agentic Object Detection for Open-World Understanding | Furkan Mumcu, Michael J. Jones, Anoop Cherian | 2025 | arxiv 2507.10844 |
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| Balancing Complementarity and Consistency via Delayed Activation in Incomplete Multi-view Clustering | Bo Li | 2024 | arxiv 2407.17744 |
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| In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation | Dahyun Kang, Minsu Cho | 2024 | arxiv 2408.04961 |
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| Efficient Visual Pretraining with Contrastive Detection | Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac | 2021 | arxiv 2103.10957 |
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| Learning Enhanced Resolution-wise features for Human Pose Estimation | Kun Zhang, Peng He, Ping Yao | 2019 | arxiv 1909.05090 |
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