85 citations · 114 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 5 cited
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving
Yuhu Shan, Wen Feng Lu, Chee Meng Chew
Annotating large scale datasets to train modern convolutional neural networks is prohibitively expensive and time-consuming for many real tasks. One alternative is to train the mod…
cs.CV2017★ 85 cited
Tree-Structured Reinforcement Learning for Sequential Object Localization
Zequn Jie, Xiaodan Liang, Jiashi Feng +3
Existing object proposal algorithms usually search for possible object regions over multiple locations and scales separately, which ignore the interdependency among different objec…
cs.CV2016★ 24 cited
Scale-aware Pixel-wise Object Proposal Networks
Zequn Jie, Xiaodan Liang, Jiashi Feng +3
Object proposal is essential for current state-of-the-art object detection pipelines. However, the existing proposal methods generally fail in producing results with satisfying loc…