Crowd counting is an application-oriented task and its inference efficiency is crucial for real- world applications. However, most previous works relied on heavy backbone networks and …
C Gu, C Wang, BB Gao, J Liu… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Recently, density map regression-based methods have dominated in crowd counting owing to their excellent fitting ability on density distribution. However, further improvement tends to …
M Jiang, J Lin, ZJ Wang - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
One promising way to improve the performance of a small deep network is knowledge distillation. Performances of smaller student models with fewer parameters and lower …
Y Liu, Q Wen, H Chen, W Liu, J Qin… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Crowd counting is challenging due to unconstrained imaging factors, eg, background clutters, non-uniform distribution of people, large scale and perspective variations. Dealing …
J Cheng, H Xiong, Z Cao, H Lu - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
One of appealing approaches to counting dense objects, such as crowd, is density map estimation. Density maps, however, present ambiguous appearance cues in congested …
X Jiang, L Zhang, P Lv, Y Guo, R Zhu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
People in crowd scenes often exhibit the characteristic of imbalanced distribution. On the one hand, people size varies largely due to the camera perspective. People far away from …
S Amirgholipour, W Jia, L Liu, X Fan, D Wang, X He - Neurocomputing, 2021 - Elsevier
Crowd counting, ie, estimating the number of people in crowded areas, has attracted much interest in the research community. Although many attempts have been reported, crowd …
X Jiang, L Zhang, M Xu, T Zhang, P Lv… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract Convolutional Neural Network (CNN) based methods generally take crowd counting as a regression task by outputting crowd densities. They learn the mapping …
J Xie, C Pang, Y Zheng, L Li, C Lyu, L Lyu, H Liu - Applied Soft Computing, 2022 - Elsevier
Crowd counting using deep convolutional neural networks (CNN) has achieved encouraging progress in recent years. Nevertheless, how to efficiently address the problems …