* ImageNet 2015 VID challenge tech report. The first two authors share
co-first authorship. Accepted as a Transaction paper by T-CSVT Special Issue
on Large Scale and Nonlinear Similarity Learning for Intelligent Video
Analysis Access Paper or Ask Questions
* This paper shows the details of our approach in wining the ImageNet
object detection challenge of 2016, with source code provided on
\url{https://github.com/craftGBD/craftGBD}. The preliminary version of this
paper is presented at the ECCV. Xingyu Zeng and Wanli Ouyang contributed
equally Access Paper or Ask Questions