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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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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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RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features


Apr 17, 2021
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

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* Accepted by CVPR 2021. Code is available at https://github.com/zhanggang001/RefineMask 

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Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection


Dec 15, 2020
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

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1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask


Sep 03, 2020
Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai

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* Winner of LVIS challenge 2020 

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Equalization Loss for Long-Tailed Object Recognition


Apr 14, 2020
Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan

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* CVPR 2020. Winner of LVIS Challenge 2019. Code has been available at https: //github.com/tztztztztz/eql.detectron2 

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Equalization Loss for Large Vocabulary Instance Segmentation


Nov 12, 2019
Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan

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* Technical Report. Winner of LVIS Challenge 2019 

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