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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Haibao Yu, Qi Han, Jianbo Li |
| 2020 |
| arxiv 2007.10026 |
| Attention Augmented Convolutional Networks | Irwan Bello, Barret Zoph, Ashish Vaswani | 2019 | arxiv 1904.09925 |
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| $\mathcal{G}$-softmax: Improving Intra-class Compactness and Inter-class Separability of Features | Yan Luo, Yongkang Wong, Mohan Kankanhalli | 2019 | arxiv 1904.04317 |
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| CBNet: A Novel Composite Backbone Network Architecture for Object Detection | Yudong Liu, Yongtao Wang, Siwei Wang | 2019 | arxiv 1909.03625 |
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| Hierarchy Parsing for Image Captioning | Ting Yao, Yingwei Pan, Yehao Li | 2019 | arxiv 1909.03918 |
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| InsCon:Instance Consistency Feature Representation via Self-Supervised Learning | Junwei Yang, Ke Zhang, Zhaolin Cui | 2022 | arxiv 2203.07688 |
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| Open-vocabulary Object Detection via Vision and Language Knowledge Distillation | Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo | 2021 | arxiv 2104.13921 |
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| Disentangle Your Dense Object Detector | Zehui Chen, Chenhongyi Yang, Qiaofei Li | 2021 | arxiv 2107.02963 |
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| #PraCegoVer: A Large Dataset for Image Captioning in Portuguese | Gabriel Oliveira dos Santos, Esther Luna Colombini, Sandra Avila | 2021 | arxiv 2103.11474 |
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| PosSAM: Panoptic Open-vocabulary Segment Anything | Vibashan VS, Shubhankar Borse, Hyojin Park | 2024 | arxiv 2403.09620 |
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