Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.
IEEE Workshop/Winter Conference on Applications of Computer Vision（2019）
Key words
ADIN,generalizable representations,Re-ID methods,calibrated domain-invariant learning,city scale traffic monitoring,spatiotemporal coverage,large-scale ReID method,adversarial domain-invariant feature learning framework,identity-related features,ReID data,video timestamp,camera index,adversarial training,calibrated adversarial loss
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined