41 citations · 60 across the 4 of their papers we have counts for
4 papers · 1 filter
Prompt-Anchored Vision-Text Distillation for Lifelong Person Re-identification
Wen Wen, Hao Chen, Shiliang Zhang
Lifelong person re-identification (LReID) aims to train a generalizable model with sequentially collected data. However, such models often suffer from semantic drift, limited adapt…
Multi-modal Reference Learning for Fine-grained Text-to-Image Retrieval
Zehong Ma, Hao Chen, Wei Zeng +2
Fine-grained text-to-image retrieval aims to retrieve a fine-grained target image with a given text query. Existing methods typically assume that each training image is accurately…
Anti-Forgetting Adaptation for Unsupervised Person Re-identification
Hao Chen, Francois Bremond, Nicu Sebe +1
Regular unsupervised domain adaptive person re-identification (ReID) focuses on adapting a model from a source domain to a fixed target domain. However, an adapted ReID model can h…
Learning Invariance from Generated Variance for Unsupervised Person Re-identification
Hao Chen, Yaohui Wang, Benoit Lagadec +2
This work focuses on unsupervised representation learning in person re-identification (ReID). Recent self-supervised contrastive learning methods learn invariance by maximizing the…