Hierarchical Object Detection with Deep Reinforcement Learning.
Miriam BellverXavier Giró-i-NietoFerran MarquésJordi TorresPublished 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