Recurrent Scale Approximation for Object Detection in CNN.
Yu LiuHongyang LiJunjie YanFangyin WeiXiaogang WangXiaoou TangPublished in: CoRR (2017)
Keyphrases
- object detection
- recurrent neural networks
- face detection
- computer vision
- cellular neural networks
- scene understanding
- object classification
- approximation error
- scale space
- object class
- pedestrian detection
- error bounds
- approximation algorithms
- genetic algorithm
- feed forward
- background subtraction
- multi class
- object recognition
- object categories
- closed form
- hidden markov models
- queueing networks
- scene recognition
- machine learning
- polygonal approximation
- convolutional neural network