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Found 2 papers, 2 papers with code
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
To address this, in this work, an automatic approach is proposed to directly clone the whole outfits from real-world person images to virtual 3D characters, such that any virtual person thus created will appear very similar to its real-world counterpart.
Ranked #1 on
Unsupervised Domain Adaptation
on ClonedPerson
(using extra training data)
Generalizable Person Re-identification
Unsupervised Domain Adaptation
+1
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting
However, current single-stage detectors (e. g. SSD) have not presented competitive accuracy on common pedestrian detection benchmarks.
Ranked #11 on
Pedestrian Detection
on Caltech
(using extra training data)
