Benoit Lagadec — accepted AI-conference papers

2021

ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification

Hao Chen, Benoit Lagadec, François Bremond

ICCV 2021poster

Unsupervised person re-identification (ReID) aims at learning discriminative identity features without annotations. Recently, self-supervised contrastive learning has gained increasing attention for its effectiveness in unsupervised representation learning. The main idea of instance contrastive lear…

Cited by 266 PDF ↗code ↗Scholar ↗

2021

Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification

Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, Francois Bremond

CVPR 2021poster

Recent self-supervised contrastive learning provides an effective approach for unsupervised person re-identification (ReID) by learning invariance from different views (transformed versions) of an input. In this paper, we incorporate a Generative Adversarial Network (GAN) and a contrastive learning…

Cited by 220 PDF ↗code ↗Scholar ↗