most citedDeep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review

Guy Farjon, Liu Huijun, Yael Edan

The number of objects is considered an important factor in a variety of tasks in the agricultural domain. Automated counting can improve farmers decisions regarding yield estimatio…

cs.CV2021

Deep Domain Adaptation for Pavement Crack Detection

Huijun Liu, Chunhua Yang, Ao Li +4

Deep learning-based pavement cracks detection methods often require large-scale labels with detailed crack location information to learn accurate predictions. In practice, however,…