HIGHLIGHTS
- who: Read Full License and colleagues from the Bahria University University of Electronic Science and Technology of China have published the research: View-aware attribute guided network for vehicle re- identiufffdcation, in the Journal: (JOURNAL)
- what: The authors propose a deep convolutional network based framework for vehicle re-id that learns robust discriminative features such as color, types, and camera views simultaneously.
- how: To deal with challenges associated with viewpoints in vehicle re-id the authors introduced a view-aware model which enhances feature alignments and improve visible views by adding multi-view . . .
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