Crowdclip: Unsupervised crowd counting via vision-language model

D Liang, J Xie, Z Zou, X Ye, W Xu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

D Liang, J Xie, Z Zou, X Ye, W Xu, X Bai - arXiv preprint arXiv:2304.04231, 2023 - arxiv.org
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

D Liang, J Xie, Z Zou, X Ye, W Xu, X Bai - 2023 IEEE/CVF Conference …, 2023 - computer.org
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

D Liang, J Xie, Z Zou, X Ye, W Xu, X Bai - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …

CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

D Liang, J Xie, Z Zou, X Ye, W Xu… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …