no code implementations • CVPR 2020 • Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
The convolution operation suffers from a limited receptive filed, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation.
no code implementations • 20 Dec 2019 • Ting-Ting Liang, Yongtao Wang, Qijie Zhao, huan zhang, Zhi Tang, Haibin Ling
Feature pyramids are widely exploited in many detectors to solve the scale variation problem for object detection.
1 code implementation • 18 Nov 2019 • Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin
In order to overcome the lack of supervision, we introduce a differentiable module to resolve the overlap between any pair of instances.
Ranked #8 on Panoptic Segmentation on Cityscapes test
6 code implementations • 9 Sep 2019 • Yudong Liu, Yongtao Wang, Siwei Wang, Ting-Ting Liang, Qijie Zhao, Zhi Tang, Haibin Ling
In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it.
Ranked #43 on Instance Segmentation on COCO test-dev
145 code implementations • 17 Jun 2019 • Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
In this paper, we introduce the various features of this toolbox.
7 code implementations • 12 Nov 2018 • Qijie Zhao, Tao Sheng, Yongtao Wang, Zhi Tang, Ying Chen, Ling Cai, Haibin Ling
Finally, we gather up the decoder layers with equivalent scales (sizes) to develop a feature pyramid for object detection, in which every feature map consists of the layers (features) from multiple levels.
Ranked #145 on Object Detection on COCO test-dev
no code implementations • 31 Jul 2018 • Qijie Zhao, Feng Ni, Yang song, Yongtao Wang, Zhi Tang
Specifically, a synthesizing method was proposed to generate well-annotated images containing barcode and QR code labels, which contributes to largely decrease the annotation time.
no code implementations • 27 Jun 2018 • Dongliang He, Fu Li, Qijie Zhao, Xiang Long, Yi Fu, Shilei Wen
In this challenge, we propose spatial-temporal network (StNet) for better joint spatial-temporal modelling and comprehensively video understanding.
1 code implementation • 26 Jun 2018 • Qijie Zhao, Tao Sheng, Yongtao Wang, Feng Ni, Ling Cai
The ability to detect small objects and the speed of the object detector are very important for the application of autonomous driving, and in this paper, we propose an effective yet efficient one-stage detector, which gained the second place in the Road Object Detection competition of CVPR2018 workshop - Workshop of Autonomous Driving(WAD).