density estimation 1diffusion models 1exemplar conditioning 1low-shot counting 1object localization 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
CoDi -- an exemplar-conditioned diffusion model for low-shot counting
Grega Å uÅ¡tar, Jer Pelhan, Alan LukežiÄ +1
CoDi is a latent diffusion-based model that uses exemplar-conditioned conditioning to generate high-quality density maps for low-shot object counting, enabling accurate object loca…
cs.CV2025
Generalized-Scale Object Counting with Gradual Query Aggregation
Jer Pelhan, Alan Lukezic, Matej Kristan
Few-shot detection-based counters estimate the number of instances in the image specified only by a few test-time exemplars. A common approach to localize objects across multiple s…
cs.CV2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
Jer Pelhan, Alan LukežiÄ, Vitjan Zavrtanik +1
Low-shot object counters estimate the number of objects in an image using few or no annotated exemplars. Objects are localized by matching them to prototypes, which are constructed…