Boosting Detection in Crowd Analysis via Underutilized Output Features

30 August 2023

Papers citing "Boosting Detection in Crowd Analysis via Underutilized Output Features"

4 / 4 papers shown

Title
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification Yiming Ma Victor Sanchez T. Guha 38 3 0 14 Mar 2024
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 16 12 0 15 Apr 2023
$CrowdDiff$ : Multi-hypothesis Crowd Density Estimation using Diffusion Models Y. Ranasinghe Nithin Gopalakrishnan Nair W. G. C. Bandara Vishal M. Patel DiffM 21 10 0 22 Mar 2023
Learning Independent Instance Maps for Crowd Localization Junyu Gao Tao Han Qi. Wang Yuan. Yuan Xuelong Li 22 41 0 08 Dec 2020