Crowd Counting Using Scale-Aware Attention Networks Cross-Scene Crowd Counting via Deep Convolutional Neural Networks Multi-Scale Convolutional Neural Networks For Crowd Counting Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting 链接:https://github.com/gjy3035/Awesome-Crowd-Counting...
Multi-scale contextual informationScale variationBackground interferenceRecently, visual attention mechanisms have been employed in CNN-based crowd counting methods to overcome the interference of background noise and have achieved good performance. However, the existing methods usually focus on designing ...
Dense scale network for crowd counting. arXiv preprint arXiv:1906.09707, 2019. [4] Mohammad Hossain, Mehrdad Hosseinzadeh, Omit Chanda, and Yang Wang. Crowd counting using scale-aware attention networks. In 2019 IEEE Winter Conference on Applications of Comp...
Crowd counting has been widely researched and many hopeful results have been obtained recently. Due to the large-scale variation and complex background noise, accurate crowd counting is still very difficult. In this paper, we raise a ...
Crowd counting is an extremely challenging task due to occlusions, scale variations of people’s heads, and non-uniform distributions of people. In this paper, we propose a scale-aware convolutional neural network (CNN), named MMNet, to generate density maps for crowd counting. In comparison wi...
[SAAN] Crowd Counting Using Scale-Aware Attention Networks (WACV) [paper] [SPN] Scale Pyramid Network for Crowd Counting (WACV) [paper] [GWTA-CCNN] Almost Unsupervised Learning for Dense Crowd Counting (AAAI) [paper] [GPC] Geometric and Physical Constraints for Drone-Based Head Plane Crowd ...
scale-awareness 主要解决不同图像存在 large variations of density,主要的思路就是 multi-column based architecture (MCNN) to capture the different densities by using different sizes of kernels in the network; Hydra-CNN 采用多分辨率输入; switching CNN 自适应选择合适的网络来处理输入图像块 ...
Crowd Counting Using Scale-Aware Attention Networks (WACV2019) [paper] [SPN] Scale Pyramid Network for Crowd Counting (WACV2019) [paper] [GWTA-CCNN] Almost Unsupervised Learning for Dense Crowd Counting (AAAI2019) [paper] Cross-Line Pedestrian Counting Based on Spatially-Consistent Two-Stage Loca...
Extensive experiments on four crowd counting datasets (ShanghaiTech, UCF_CC_50, UCF-QNRF, UCSD) demonstrate the effectiveness and superiority of the proposed method in highly congested noisy crowd scenes. 展开 关键词: Crowd counting Global contextual information Multi-scale contextual information Scale...
Crowd Counting Using Scale-Aware Attention Networks (WACV2019) [paper] [SPN] Scale Pyramid Network for Crowd Counting (WACV2019) [paper] [GWTA-CCNN] Almost Unsupervised Learning for Dense Crowd Counting (AAAI2019) [paper] Cross-Line Pedestrian Counting Based on Spatially-Consistent Two-Stage Loca...