Learning deep compact channel features for object detection in traffic scenes
Yuqiang Fang, Lin Sun, Hao Fu, Tao Wu, Ruili Wang, Bin Dai · 2016
In this work, we present a new multiple channel feature called Deep Compact Channel Feature (DCCF), which generates a compact, discriminative feature representation by a pre-trained deep encoder-decoder. With the combination of DCCF and boosted decision trees, a new object detector is proposed which achieved outstanding performance on standard pedestrian dataset INRIA and Caltech. Furthermore, a large scale and challenging Chinese Traffic Sign Detection benchmark is constructed. DCCF and other related methods are evaluated on this dataset. The dataset and baselines are available online.