Weakly Supervised Video Individual Counting Xinyan Liu1 Guorong Li1,3* Yuankai Qi2 Ziheng Yan1 Zhenjun Han1 Anton van den Hengel5 Ming-Hsuan Yang6 Qingming Huang1,3,4 1 University of Chinese Academy of Science; 2 Macquarie University; 3 Key Lab of Big Data Mining and Knowledge Management...
we introduce a weakly supervised VIC task, wherein trajectory labels are not provided. Instead, two types of labels are provided to indicate traffic entering the field of view (inflow) and leaving the field view (outflow). % We also propose the first solution as a baseline that formulates ...
Weakly-supervisedSortingMulti-framesCrowd countingIn crowd counting datasets, the location labels are costly, yet, they are not taken into the evaluation metrics. Besides, existing multi-task approaches employ high-level tasks to improve counting accuracy. This research tendency increases the demand for...
Hence, it is desirable to develop weakly-supervised counting methods that just rely on count-level annotations, a more economical way of labeling. Current weakly-supervised counting methods adopt the CNN to regress a total count of the crowd by an image-to-count paradigm. However, having ...
An officical implementation of TransCrowd: Weakly-Supervised Crowd Counting with Transformers. To the best of our knowledge, this is the first work to adopt a pure Transformer for crowd counting research. We observe that the proposed TransCrowd can effectively extract the semantic crowd informa...
An effective proxy task, namely Split-Counting, is also proposed to evade the barrier of limited samples and the shortage of spatial hints in a self-supervised manner. Extensive experiments demonstrate that CrowdMLP significantly outperforms existing weakly-supervised counting algorithms and performs on...
We propose a weakly-supervised cell tracking method that can train a convolutional neural network (CNN) by using only the annotation of “cell detection” (i.e., the coordinates of cell positions) without association information, in which cell positions
代码:GitHub - Boli-trainee/Hypergraph-Association-Weakly-Supervised-Crowd-Counting: The code of paper: Hypergraph Association Weakly Supervised Crowd Counting 太长不看版本: 首先,由于人群自身聚集的特性导致计数场景中常见人群密度分布不均匀的问题,从而显著降低了模型的计数精度。为应对这一挑战,强监督人群计数任...
Biomedical repositories such as the UK Biobank provide increasing access to prospectively collected cardiac imaging, however these data are unlabeled, which creates barriers to their use in supervised machine learning. We develop a weakly supervised deep
Crowd countingVision transformersWeakly -supervised methodGeneralizabilityConvolutional neural networks (CNNs) have dominated the field of computer vision for nearly a decade. However, due to their limited receptive field, CNNs fail to model the global context. On the other hand, transformers, an ...