Compositional compression of deep image features using stacked quantizers
In computer vision, it is common for image representations to be stored as high-dimensional real-valued vectors. In many computer vision applications, such as retrieval, classification, registration and reconstruction, the computational bottleneck arises in a process known as feature matching, where...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2014
|
| Online Access: | http://hdl.handle.net/2429/51511 |