Active Batch Selection for Fuzzy Classification in Facial Expression Recognition

Conference/Journal
IEEE
Authors
Shayok Chakraborty Hemanth Venkateswara Vineeth N Balasubramanian Sethuraman Panchanathan
BibTex
Abstract
Abstract: Automated recognition of facial expressions is an important problem in computer vision applications. Due to the vagueness in class definitions, expression recognition is often conceived as a fuzzy label problem. Annotating a data point in such a problem involves significant manual effort. Active learning techniques are effective in reducing human labeling effort to induce a classification model as they automatically select the salient and exemplar instances from vast amounts of unlabeled data. Further, to address the high ...