activity
20212023
most citedA Comprehensive Review on Deep Supervision: Theories and Applications

14 citations · 20 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior

Jose Sosa, Sharn Perry, Jane Alty +1

Numerous fields, such as ecology, biology, and neuroscience, use animal recordings to track and measure animal behaviour. Over time, a significant volume of such data has been prod…

cs.CV20231 cited

Contactless hand tremor amplitude measurement using smartphones: development and pilot evaluation

James Bungay, Osasenaga Emokpae, Samuel D. Relton +4

Background: Physiological tremor is defined as an involuntary and rhythmic shaking. Tremor of the hand is a key symptom of multiple neurological diseases, and its frequency and amp…

cs.CV20233 cited

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…

cs.CV202214 cited

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…

cs.CV20212 cited

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…