Accurately estimating the number of objects in a single image is a challenging yet
meaningful task and has been applied in many applications such as urban planning and …

Crowd behavior investigation in images/videos is an important task applied in areas such as
people counting, density estimation, emotion recognition, motion detection, and flow …

Counting high‐density objects quickly and accurately is a popular area of research. Crowd
counting has significant social and economic value and is a major focus in artificial …

Counting the number of people in crowded scenarios is a crucial task in video surveillance
and urban security system. Widely deployed surveillance cameras provide big data for …

Remote sensing object counting is an important issue in remote sensing analysis. Remote
sensing object counting has many challenges, such as large-scale variations and complex …

Crowd counting is a considerable yet challenging task in intelligent video surveillance and
urban security systems. The performance has been significantly boosted along with the …

With the availability of powerful text-to-image diffusion models, recent works have explored
the use of synthetic data to improve image classification performances. These works show …

This paper focuses on the unsupervised domain adaptation problem for video-based crowd
counting, in which we use labeled data as source domain and unlabelled video data as …

Highlights•Domain specific dataset for aphid counting in the field.•This dataset may have
high application value in practical aphid monitoring.•Propose a multi-branch convolutional …

Existing works mainly focus on crowd and ignore the confusion regions which contain
extremely similar appearance to crowd in the background, while crowd counting needs to …