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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Ludovic Trottier, Philippe Giguère, Brahim Chaib-draa |
| 2016 |
| arxiv 1605.09332 |
| Identifying Object States in Cooking-Related Images | Ahmad Babaeian Jelodar, Md Sirajus Salekin, Yu Sun | 2018 | arxiv 1805.06956 |
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| You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization | Xinbang Zhang, Zehao Huang, Naiyan Wang | 2018 | arxiv 1811.01567 |
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| On the Intrinsic Dimensionality of Image Representations | Sixue Gong, Vishnu Naresh Boddeti, Anil K. Jain | 2018 | arxiv 1803.09672 |
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| A Delay Metric for Video Object Detection: What Average Precision Fails to Tell | Huizi Mao, Xiaodong Yang, William J. Dally | 2019 | arxiv 1908.06368 |
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| Switchable Precision Neural Networks | Luis Guerra, Bohan Zhuang, Ian Reid | 2020 | arxiv 2002.02815 |
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| MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution | Taojiannan Yang, Sijie Zhu, Chen Chen | 2019 | arxiv 1909.12978 |
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| Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet | Hao Chen, Abhinav Shrivastava | 2020 | arxiv 2007.00649 |
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| Convolutional Neural Network Training with Distributed K-FAC | J. Gregory Pauloski, Zhao Zhang, Lei Huang | 2020 | arxiv 2007.00784 |
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| Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection | Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang | 2020 | arxiv 2004.12178 |
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