Fast covariant VLAD for image search
Vector of locally aggregated descriptor (VLAD) is a popular image encoding approach for its simplicity and better scalability over conventional bag-of-visual-word approach. In order to enhance its distinctiveness and geometric invariance, covariant VLAD (CVLAD) is proposed to pool local features bas...
Saved in:
Main Authors: | ZHAO, Wan-Lei, NGO, Chong-wah, WANG, Hanzi |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6310 https://ink.library.smu.edu.sg/context/sis_research/article/7313/viewcontent/07499824.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
A penalized likelihood approach in covariance graphical model selection
by: LIN NAN
Published: (2011) -
ESTIMATION OF LARGE-SCALE CROSS-COVARIANCE MATRIX WITH GROUP INFORMATION
by: TEO GUO CI
Published: (2015) -
Covariance pooling for facial expression recognition
by: ACHARYA, D., et al.
Published: (2018) -
Extreme-Value Graphical Models With Multiple Covariates
by: Yu, Hang, et al.
Published: (2018) -
On estimation of the population spectral distribution from a high-dimensional sample covariance matrix
by: Bai, Z., et al.
Published: (2014)