Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks

@article{Pham2017RobustOP,
  title={Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks},
  author={Cuong Cao Pham and Jae Wook Jeon},
  journal={Sig. Proc.: Image Comm.},
  year={2017},
  volume={53},
  pages={110-122}
}
Object proposals have recently emerged as an essential cornerstone for object detection. The current state-of-theart object detectors employ object proposals to detect objects within a modest set of candidate bounding box proposals instead of exhaustively searching across an image using the sliding window approach. However, achieving high recall and good localization with few proposals is still a challenging problem. The challenge becomes even more difficult in the context of autonomous driving… CONTINUE READING