A two-stream person re-identification network that trains RGB and grayscale branches and fuses them with a joint branch improves mAP on four benchmarks, with grayscale input contributing most on the hardest dataset.
Beyond triplet loss: a deep quadruplet network for person re- identification
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification
A two-stream person re-identification network that trains RGB and grayscale branches and fuses them with a joint branch improves mAP on four benchmarks, with grayscale input contributing most on the hardest dataset.