Jul 13, 2022 · In this paper, we propose a novel convolutional neural network (CNN) framework for crowd counting with mixed ground-truth, called top- k relation-based network ...
Oct 22, 2024 · In this paper, we propose a novel convolutional neural network (CNN) framework for crowd counting with mixed ground-truth, called top- k k ...
In this paper, we propose a novel convolutional neural network. (CNN) framework for crowd counting with mixed ground-truth, called top-k relation-based network ...
In this paper, we propose a scale-aware convolutional neural network (CNN), named MMNet, to generate density maps for crowd counting.
Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework. L Dong, H Zhang, K Yang, D Zhou, J Shi, J Ma. IEEE Transactions on Consumer ...
In this section, we briefly review some mainstream related works on CNN-based crowd counting methods. These mainly include approaches based on multicolumn ...
Dec 18, 2024 · In this article, we propose a new cross locality relation network (CLRNet) to generate high-quality crowd density maps for crowd counting in ...
To improve the accuracy of crowd counting tasks, we propose to combine the convolutional neural network (CNN) and Transformer frameworks. Since CNN focuses on ...
Crowd-counting mechanism starts from object annotation in an image to density estimation; object counting is depicted. General framework of crowd counting (top) ...
Missing: Mixed | Show results with:Mixed
Most popular way is to simply blur each head annotation with a Gaussian kernel normalized to sum to one. Summing the density map gives the crowd count. This ...
Missing: Relations: Mixed