Hierarchical Object Detection with Deep Reinforcement Learning.

Miriam Bellver Xavier Giró-i-Nieto Ferran Marqués Jordi Torres

Published in: CoRR (2016)

Keyphrases

object detection
reinforcement learning
coarse to fine
function approximation
state space
object class
hierarchical reinforcement learning
face detection
object recognition

multi class
object categories
markov decision processes
data sets
deep learning
transition model
hierarchical structure
computer vision

deep belief networks
hierarchical clustering
scene understanding
hierarchical model
temporal difference learning
robotic control
learning problems
background subtraction

image features
probabilistic model
active learning
learning process
multiscale
learning algorithm
genetic algorithm
machine learning