76 citations · 154 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
2018 Low-Power Image Recognition Challenge
Sergei Alyamkin, Matthew Ardi, Achille Brighton +38
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technolog…
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…
A Quantization-Friendly Separable Convolution for MobileNets
Tao Sheng, Chen Feng, Shaojie Zhuo +3
As deep learning (DL) is being rapidly pushed to edge computing, researchers invented various ways to make inference computation more efficient on mobile/IoT devices, such as netwo…