14 citations · 19 across the 4 of their papers we have counts for
5 papers · 1 filter
Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
Jianping Yao, Son N. Tran, Saurabh Garg +1
Deep learning plays an important role in modern agriculture, especially in plant pathology using leaf images where convolutional neural networks (CNN) are attracting a lot of atten…
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
Jianping Yao, Son N. Tran, Samantha Sawyer +1
The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence of machine learning application…
Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning
Renjie Li, Chun Yu Lao, Rebecca St. George +5
Objective The coordination of human movement directly reflects function of the central nervous system. Small deficits in movement are often the first sign of an underlying neurolog…
A Comprehensive Review on Deep Supervision: Theories and Applications
Renjie Li, Xinyi Wang, Guan Huang +7
Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network. This technique has been increasingl…
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
Renjie Li, Son Tran, Saurabh Garg +3
Keypoint detection plays an important role in a wide range of applications. However, predicting keypoints of small objects such as human hands is a challenging problem. Recent work…