3.在四个人群计数数据集上的实验评估表明,所提出的Chanet方法的性能优于最先进的方法 结构:第二节:简要回顾基于CNN的人群计数丰富,第三节介绍CHANET细节,第四节,在四个数据集上展示了足够的实验结果来评估本文方 法的性能,第五节,总结了这项工作。 相关工作 近年来研究人员致力于开发基于CNN的人群密度图生成方法...
(1)模型结构 整个model称为Perspective-aware CNN,即PACNN,backbone是一个VGG-16,然后不同的位置分别预测出了3个density map,然后有一个分支预测出了一张perspective map,接下来就是perspective map和density map结合的事了 结合的方法不是直接拿两张图point-wise的相乘,perspective map还要经过一个persepctive-aware...
In this paper, a deep learning-based method is proposed for crowd-counting problems. Specifically, by utilizing the convolution kernel density map, the ground truth is generated dynamically to enhance the feature-extracting ability of the generator model. Meanwhile, the “cross stage partial” module...
The proposed model is built based on pre-trained convolutional neural network (CNN) called VGG-16 with some modifications on the last layer of the CNN to increase the efficiency of the training model. In addition to the improvement of efficiency, the proposed method accepts images of arbitrary ...
a new method, based on Inception-V3, is proposed to reduce the amount of computation. This proposed approach (ICC), exploits the first five inception blocks and the contextual module designed in CAN to extract features at different receptive fields, thereby being context-aware. The employment of...
Hence, we propose the Adaptive Capacity Multi-scale convolutional neural networks (ACM-CNN), a novel crowd counting approach which can assign different capacities to different portions of the input. The intuition is that the model should focus on important regions of the input image and optimize ...
CNN-based CC methods face a lot of challenges such as perspective distortion, density level variation, non-uniform crowd distribution. To overcome these challenges, researchers play their role to develop a state of the art CC method. Detection-based techniques for crowd counting utilize a moving-...
As a challenging issue in computer vision, crowd counting has been increasingly studied. A convolutional neural network (CNN) is an effective system for handling crowd counting, based on constructing a CNN to generate a high-quality density estimation map. However, conventional CNN-ba...
Code for SCNN is based on Lasagne\Theano. This code was tested on UBUNTU 14.04 on the folowing NVIDIA GPUs: NVIDIA TITAN X. To test SCNN on trained model: $ git clone https://github.com/val-iisc/crowd-counting-scnn.git $ matlab -nodisplay -nojvm -nosplash -nodesktop -r"run('dataset...
[Improved SaCNN] Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network (IEEE Access) [paper] [DA-Net] DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network (IEEE Access) [paper][code] 2017 Conference [Switching CNN] Switching Convolu...