preprint

EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo (Equivalent Rules for Contrastive Learning) to make self-supervised learning irrelevant to the number of negative samples in the contrastive learning framework.
Benjin ZHU, Junqiang Huang, Zeming Li, Xiangyu Zhang, Jian Sun
PDF Cite Code
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
AutoAssign: Differentiable Label Assignment for Dense Object Detection
End-to-end dense object detection without hyperpamameters.
Benjin ZHU, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, Jian Sun
PDF Cite Code
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
This report presents our method which wins the nuScenes 3D Detection Challenge held in Workshop on Autonomous Driving(WAD, CVPR 2019).
Benjin ZHU, Zhengkai Jiang, Xiangxin Zhou, Zeming Li, Gang Yu
PDF Cite Code
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection