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AFreeCA: Annotation-Free Counting for All
Consequently, we can generate counting data for any type of object and count them in an unsupervised manner.
SYRAC: Synthesize, Rank, and Count
To address this, we use latent diffusion models to create two types of synthetic data: one by removing pedestrians from real images, which generates ranked image pairs with a weak but reliable object quantity signal, and the other by generating synthetic images with a predetermined number of objects, offering a strong but noisy counting signal.
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