Convolutional recurrent neural networks: Learning spatial dependencies for image representation.
Zhen ZuoBing ShuaiGang WangXiao LiuXingxing WangBing WangYushi ChenPublished in: CVPR Workshops (2015)
Keyphrases
- image representation
- recurrent neural networks
- recurrent networks
- image classification
- cascade correlation
- echo state networks
- object recognition
- bag of words
- supervised learning
- deep learning
- quadtree
- learning algorithm
- feature representations
- image content
- multiscale
- feedforward neural networks
- sparse coding
- feed forward
- bag of features
- neural model
- visual features
- image retrieval
- decision making
- machine learning