Papers with body-part-level alignment

1 papers
PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification (2025.findings-emnlp)

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Challenge: Domain generalization person re-identification (DG-ReID) aims to train models on source domains and generalize to unseen target domains.
Approach: They propose a framework to generalize person re-identification using a vision-language model . body-part cues are used to segment images into semantically coherent regions .
Outcome: The proposed framework can generalize to unseen domains and generalize semantics to people . it leverages the pre-trained vision-language model BLIP to extract aligned visual and textual embeddings.

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