794 citations · 917 across the 9 of their papers we have counts for
9 papers
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Xia Li, Yibo Yang, Qijie Zhao +3
The convolution operation suffers from a limited receptive filed, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation. In this paper, we a…
MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection
Tingting Liang, Yongtao Wang, Qijie Zhao +3
Feature pyramids are widely exploited in many detectors to solve the scale variation problem for object detection. In this paper, we first investigate the Feature Pyramid Network (…
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Yibo Yang, Hongyang Li, Xia Li +3
The panoptic segmentation task requires a unified result from semantic and instance segmentation outputs that may contain overlaps. However, current studies widely ignore modeling…
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu, Yongtao Wang, Siwei Wang +4
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. In this…
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai Chen, Jiaqi Wang, Jiangmiao Pang +22
We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The to…
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Qijie Zhao, Tao Sheng, Yongtao Wang +4
Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask R-CN…
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database
Qijie Zhao, Feng Ni, Yang Song +2
Digital signs(such as barcode or QR code) are widely used in our daily life, and for many applications, we need to localize them on images. However, difficult cases such as targets…
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition
Dongliang He, Fu Li, Qijie Zhao +3
In this report, our approach to tackling the task of ActivityNet 2018 Kinetics-600 challenge is described in detail. Though spatial-temporal modelling methods, which adopt either s…
CFENet: An Accurate and Efficient Single-Shot Object Detector for Autonomous Driving
Qijie Zhao, Tao Sheng, Yongtao Wang +2
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 ye…