Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving

no code implementations • 30 Sep 2018 • Yuhu Shan, Wen Feng Lu, Chee Meng Chew

One alternative is to train the model on labeled synthetic datasets and apply it in the real scenes.

Autonomous Driving Generative Adversarial Network +4

Tree-Structured Reinforcement Learning for Sequential Object Localization

no code implementations • NeurIPS 2016 • Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan

Therefore, Tree-RL can better cover different objects with various scales which is quite appealing in the context of object proposal.

Object Object Localization +2

Scale-aware Pixel-wise Object Proposal Networks

no code implementations • 19 Jan 2016 • Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Eng Hock Francis Tay, Shuicheng Yan

In particular, in order to improve the localization accuracy, a fully convolutional network is employed which predicts locations of object proposals for each pixel.

Object object-detection +2