16 citations · 39 across the 8 of their papers we have counts for
3 papers · 1 filter
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
Dylan Spicker, Amir Nazemi, Joy Hutchinson +4
Dietary intake data are routinely drawn upon to explore diet-health relationships. However, these data are often subject to measurement error, distorting the true relationships. Be…
Memory-Efficient Continual Learning Object Segmentation for Long Video
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee +1
Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from pre…
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi, Zeyad Moustafa, Paul Fieguth
Continual learning in real-world scenarios is a major challenge. A general continual learning model should have a constant memory size and no predefined task boundaries, as is the…