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Fengwei Yu

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SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency

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Jul 01, 2023
Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

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UniHCP: A Unified Model for Human-Centric Perceptions

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Mar 19, 2023
Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang

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

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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

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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

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

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

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

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

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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

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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

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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

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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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