Attention Scaling for Crowd Counting 2020 CVPR ,这里只对Attention Scaling for Crowd Counting做简要叙述,因英语水平有限,部分叙述有误的地方,请多多指点。需要的话请看原文:https://github.com/gjy3035/Awesome-Crowd-Counting 摘要 人群计数的主要任务是学习图片与密度图之间的映射关系。由于人群密度在图片上的变化...
Attention Scaling for Crowd Counting 来自 Semantic Scholar 喜欢 0 阅读量: 523 作者:X Jiang,L Zhang,M Xu,T Zhang,Y Pang 摘要: Convolutional Neural Network (CNN) based methods generally take crowd counting as a regression task by outputting crowd densities. They learn the mapping between image ...
CVPR2020-Attention Scaling for Crowd Counting:用注意力尺度来进行人群计数 Attention Scaling for Crowd Counting Abstract(摘要) 2.Ralated work(相关工作) 2.1 Multi-scale Information Fusion Approaches(多尺度信息融合方法) 2.2 Attentio... 查看原文 CVPR2020--几篇人群计数论文 2.CVPR2020_Attention Scaling ...
人群密度估计--Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting 2019 CVPR 摘要: 以往方法都是从多尺度,多语义角度出发提高鲁棒性和效果,而我们确定了三个对密度估计至关重要的属性:几何/语义/数字属性,并演示了如何有效地利用这些异构属性来帮助人群计数,即将它们构造成多个辅助任务来计数。 Figure...
[ASNet] Attention Scaling for Crowd Counting (CVPR) [paper] [code] [CWAN] Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting (ICASSP) [paper] [AGRD] Attention Guided Region Division for Crowd Counting (ICASSP) [paper] [BBA-NET] BBA-NET: A Bi-Branch Attention Network For Cro...
HaloNet: "Scaling Local Self-Attention For Parameter Efficient Visual Backbones", CVPR, 2021 (Google). [Paper][PyTorch (lucidrains)] CoTNet: "Contextual Transformer Networks for Visual Recognition", CVPRW, 2021 (JD). [Paper][PyTorch] HAT-Net: "Vision Transformers with Hierarchical Attention", ...
Scaling local self-attention for parameter efficient visual backbones. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12894–12904, 2021. [37] Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S Kevin Zhou, and Shuguang...
Jiang, X., Zhang, L., Xu, M., Zhang, T., Lv, P., Zhou, B., Pang, Y.: Attention scaling for crowd counting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4706–4715 (2020) Hou, Q., Zhou, D., Feng, J.: Coordinate attention for ...
Bayesian Multi Scale Neural Network for Crowd Counting 阅读笔记 1.面临问题: 人群计数在计算视觉领域很重要但是也很困难的问题。在图像上基于密度图估计的卷积网络在这个领域取得了巨大的成功。然而,密集的人群计数仍然是一个开放的问题,因为严重的遮挡和透视图中,人们可以出现在不同的大小。在这项工作中,使用...
HaloNet: "Scaling Local Self-Attention For Parameter Efficient Visual Backbones", CVPR, 2021 (Google). [Paper][PyTorch (lucidrains)] CoTNet: "Contextual Transformer Networks for Visual Recognition", CVPRW, 2021 (JD). [Paper][PyTorch] HAT-Net: "Vision Transformers with Hierarchical Attention", ...