7 citations · 7 across the 3 of their papers we have counts for
3 papers
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters
Fabian Dubourvieux, Angélique Loesch, Romaric Audigier +2
Unsupervised Domain Adaptation (UDA) for re-identification (re-ID) is a challenging task: to avoid a costly annotation of additional data, it aims at transferring knowledge from a…
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
Fabian Dubourvieux, Romaric Audigier, Angelique Loesch +2
Person Re-Identification (re-ID) aims at retrieving images of the same person taken by different cameras. A challenge for re-ID is the performance preservation when a model is used…
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning
Rachel Blin, Samia Ainouz, Stéphane Canu +1
Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great…