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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| 2020 |
| arxiv 2007.09690 |
| Context-aware Captions from Context-agnostic Supervision | Ramakrishna Vedantam, Samy Bengio, Kevin Murphy | 2017 | arxiv 1701.02870 |
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| Pixel-Level Clustering Network for Unsupervised Image Segmentation | Cuong Manh Hoang, Byeongkeun Kang | 2023 | arxiv 2310.16234 |
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| Text and Click inputs for unambiguous open vocabulary instance segmentation | Nikolai Warner, Meera Hahn, Jonathan Huang | 2023 | arxiv 2311.14822 |
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| Language-conditioned Detection Transformer | Jang Hyun Cho, Philipp Krähenbühl | 2023 | arxiv 2311.17902 |
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| Transforming Visual Scene Graphs to Image Captions | Xu Yang, Jiawei Peng, Zihua Wang | 2023 | arxiv 2305.02177 |
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| Smooth and Stepwise Self-Distillation for Object Detection | Jieren Deng, Xin Zhou, Hao Tian | 2023 | arxiv 2303.05015 |
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| Trapped in texture bias? A large scale comparison of deep instance segmentation | Johannes Theodoridis, Jessica Hofmann, Johannes Maucher | 2024 | arxiv 2401.09109 |
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| AQD: Towards Accurate Fully-Quantized Object Detection | Peng Chen, Jing Liu, Bohan Zhuang | 2020 | arxiv 2007.06919 |
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| Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization | Zhao Wang, Aoxue Li, Fengwei Zhou | 2024 | arxiv 2403.09433 |
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