1 code implementation • ICCV 2021 • Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang
Data augmentation has been an indispensable tool to improve the performance of deep neural networks, however the augmentation can hardly transfer among different tasks and datasets.
1 code implementation • CVPR 2021 • JiaWei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang
Then the association problem turns into a general graph matching between tracklet graph and detection graph.
1 code implementation • CVPR 2022 • Chenhongyi Yang, Zehao Huang, Naiyan Wang
On the popular COCO dataset, the proposed method improves the detection mAP by 1. 0 and mAP-small by 2. 0, and the high-resolution inference speed is improved to 3. 0x on average.
1 code implementation • 4 Aug 2020 • Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang
In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track.
no code implementations • ICLR 2019 • Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.
1 code implementation • 14 Mar 2019 • Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhao-Xiang Zhang
A Simple and Versatile Framework for Object Detection and Instance Recognition
1 code implementation • 5 Nov 2018 • Xinbang Zhang, Zehao Huang, Naiyan Wang
Recently Neural Architecture Search (NAS) has aroused great interest in both academia and industry, however it remains challenging because of its huge and non-continuous search space.
1 code implementation • ICLR 2019 • Zehao Huang, Naiyan Wang
In this paper, we propose a novel knowledge transfer method by treating it as a distribution matching problem.
1 code implementation • ECCV 2018 • Zehao Huang, Naiyan Wang
Deep convolutional neural networks have liberated its extraordinary power on various tasks.