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Count2Density: Crowd density estimation without location-level annotations

delete2026-04-14
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OA
AI
M
Mattia Litrico *
F
Feng Chen
M
Michael P. Pound
S
Sotirios A. Tsaftaris
S
Sebastiano Battiato
M
Mario Valerio Giuffrida
DOI:10.1016/j.patcog.2026.113755delete
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Abstract

Abstract

En 中文
• Predicts crowd density maps using only count-level supervision. • Eliminates costly location-level annotations maintaining spatial accuracy. • Leverages a historical map bank to generate pseudo-density maps. • Self-supervised contrastive regulariser enhances spatial awareness. • Outperforms state-of-the-art on major crowd counting benchmarks.
Keywords:
Density estimation
Count-level annotations
Weak-supervision
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Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
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1.3W
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4.5W

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