Recurrent Scale Approximation for Object Detection in CNN.
Yu LiuHongyang LiJunjie YanFangyin WeiXiaogang WangXiaoou TangPublished in: ICCV (2017)
Keyphrases
- object detection
- face detection
- convolutional neural network
- cellular neural networks
- computer vision
- feed forward
- object classification
- background subtraction
- recurrent neural networks
- object class
- pedestrian detection
- approximation algorithms
- object categories
- error bounds
- closed form
- scale space
- human detection
- data sets
- multi class
- small scale
- artificial neural networks
- pairwise
- relative error
- image sequences
- recurrent networks
- approximation schemes
- image processing
- multi unit combinatorial auctions