Recurrent Scale Approximation for Object Detection in CNN.

Yu Liu Hongyang Li Junjie Yan Fangyin Wei Xiaogang Wang Xiaoou Tang

Published 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