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Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning


Oct 11, 2022
Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu

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The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition


Oct 11, 2022
Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

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Towards Frame Rate Agnostic Multi-Object Tracking


Oct 07, 2022
Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang

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* 21 pages; Author version 

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Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models


Sep 27, 2022
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu

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* Accepted by NeurIPS 2022 

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QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization


Mar 11, 2022
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu

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Equalized Focal Loss for Dense Long-Tailed Object Detection


Jan 07, 2022
Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

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INTERN: A New Learning Paradigm Towards General Vision


Nov 16, 2021
Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

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MQBench: Towards Reproducible and Deployable Model Quantization Benchmark


Nov 05, 2021
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan

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* Accepted by 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks 

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Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm


Oct 11, 2021
Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan

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* 18 pages, 10 figures 

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