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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Zhijian Liu, Simon Stent, Jie Li |
| 2021 |
| arxiv 2108.11950 |
| Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation | Jungbeom Lee, Jooyoung Choi, Jisoo Mok | 2021 | arxiv 2110.06530 |
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| Heatmap Distribution Matching for Human Pose Estimation | Haoxuan Qu, Li Xu, Yujun Cai | 2022 | arxiv 2210.00740 |
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| IMDB-WIKI-SbS: An Evaluation Dataset for Crowdsourced Pairwise Comparisons | Nikita Pavlichenko, Dmitry Ustalov | 2021 | arxiv 2110.14990 |
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| Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions | Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang | 2022 | arxiv 2203.00960 |
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| Efficient Self-Ensemble for Semantic Segmentation | Walid Bousselham, Guillaume Thibault, Lucas Pagano | 2021 | arxiv 2111.13280 |
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| Dense Learning based Semi-Supervised Object Detection | Binghui Chen, Pengyu Li, Xiang Chen | 2022 | arxiv 2204.07300 |
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| Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer | Wang Zeng, Sheng Jin, Wentao Liu | 2022 | arxiv 2204.08680 |
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| Training Region-based Object Detectors with Online Hard Example Mining | Abhinav Shrivastava, Abhinav Gupta, Ross Girshick | 2016 | arxiv 1604.03540 |
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| RepPoints: Point Set Representation for Object Detection | Ze Yang, Shaohui Liu, Han Hu | 2019 | arxiv 1904.11490 |
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