Count2Density maps per-image crowd counts into spatial density maps via an EMA historical bank and hypergeometric sampling, eliminating the need for point annotations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Count2Density: Crowd Density Estimation without Location-level Annotations
Count2Density maps per-image crowd counts into spatial density maps via an EMA historical bank and hypergeometric sampling, eliminating the need for point annotations.