Group optimization for multi-attribute visual embedding
Understanding semantic similarity among images is the core of a wide range of computer graphics and computer vision applications. However, the visual context of images is often ambiguous as images that can be perceived with emphasis on different attributes. In this paper, we present a method for lea...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-09-01
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| Series: | Visual Informatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X18300408 |