Title
Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks.
Abstract
This paper tries to separate fine-grained images by jointly learning the encoding parameters and codebooks through low-rank sparse coding (LRSC) with general and class-specific codebook generation. Instead of treating each local feature independently, we encode the local features within a spatial region jointly by LRSC. This ensures that the spatially nearby local features with similar visual char...
Year
DOI
Venue
2017
10.1109/TNNLS.2016.2545112
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Encoding,Image coding,Visualization,Image representation,Image reconstruction,Computers,Training
ENCODE,Feature detection (computer vision),U-matrix,Pattern recognition,Computer science,Neural coding,Visualization,Artificial intelligence,Contextual image classification,Machine learning,Codebook,Encoding (memory)
Journal
Volume
Issue
ISSN
28
7
2162-237X
Citations 
PageRank 
References 
2
0.35
0
Authors
6
Name
Order
Citations
PageRank
Chunjie Zhang148239.70
Chao Liang2105977.92
Liang Li334224.75
Jing Liu4178188.09
Qingming Huang53919267.71
Qi Tian66443331.75