Associating neural word embeddings with deep image representations using Fisher Vectors.
Benjamin KleinGuy LevGil SadehLior WolfPublished in: CVPR (2015)
Keyphrases
- image representation
- fisher vectors
- image classification
- bag of features
- visual classification
- bag of words
- sparse coding
- person re identification
- image features
- multiscale
- image content
- feature extraction
- visual features
- visual words
- scene classification
- sparse representation
- visual recognition
- low dimensional
- n gram
- object recognition
- low level features
- co occurrence
- class specific
- vector space
- manifold learning
- feature selection
- keywords
- pairwise
- high dimensional
- dimensionality reduction
- distance function
- high dimensional data