A LoRA-adapted diffusion model generates surveillance-style pedestrian images whose labels are verified by a Bayesian classifier on BLIP scores, improving PAR accuracy over naive synthetic labeling.
VESPA: Towards un- supervised open-world pointcloud labeling for autonomous driving,
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ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition
A LoRA-adapted diffusion model generates surveillance-style pedestrian images whose labels are verified by a Bayesian classifier on BLIP scores, improving PAR accuracy over naive synthetic labeling.