Abstract: Triplet loss traditionally relies only on class labels and does not use all available information in multi-task scenarios where multiple types of annotations are available. This paper introduces a Multi-Annotation Triplet Loss (MATL) framework that extends triplet loss by… Read More
Tag: metric learning
Congratulations to Xiaolei Guo for a Successful Dissertation Defense!
Congratulations to our labmate Xiaolei Guo for successfully defending her dissertation! Defending a dissertation is the last milestone to completing a Ph.D. at the University of Florida. Xiaolei presented a deep interactive segmentation framework to address the time-consuming task of… Read More
Congratulations to Xiaolei Guo for becoming a PhD candidate!
Congratulations to our labmate, Xiaolei Guo, for passing her Oral Qualifying Exam and becoming a PhD candidate! For the remainder of her PhD work, Xiaolei plans to investigate fundamental research questions on “Interactive Segmentation with Deep Metric Learning”. We are… Read More