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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Fabio Cermelli, Dario Fontanel, Antonio Tavera |
| 2021 |
| arxiv 2112.01882 |
| S4OD: Semi-Supervised learning for Single-Stage Object Detection | Yueming Zhang, Xingxu Yao, Chao Liu | 2022 | arxiv 2204.04492 |
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| Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection | Jihwan Park, SeungJun Lee, Hwan Heo | 2022 | arxiv 2204.04836 |
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| Attention Consistency on Visual Corruptions for Single-Source Domain Generalization | Ilke Cugu, Massimiliano Mancini, Yanbei Chen | 2022 | arxiv 2204.13091 |
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| DETR++: Taming Your Multi-Scale Detection Transformer | Chi Zhang, Lijuan Liu, Xiaoxue Zang | 2022 | arxiv 2206.02977 |
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| Exploring Plain Vision Transformer Backbones for Object Detection | Yanghao Li, Hanzi Mao, Ross Girshick | 2022 | arxiv 2203.16527 |
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| Rethinking Query-Key Pairwise Interactions in Vision Transformers | Cheng Li, Yangxin Liu | 2022 | arxiv 2207.00188 |
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| Knowledge Guided Bidirectional Attention Network for Human-Object Interaction Detection | Jingjia Huang, Baixiang Yang | 2022 | arxiv 2207.07979 |
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| Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement | Hongsheng Wang, Xiaoqi Zhao, Youwei Pang | 2022 | arxiv 2210.00765 |
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| Automated Medical Device Display Reading Using Deep Learning Object Detection | Lucas P. Moreira | 2022 | arxiv 2210.01325 |
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