Exploring Recent Trends in Transfer Learning Strategies: A Case Study on Eye Localization and Eye State Classification
Abstract
Transfer learning has become a vital technique for enhancing model performance and reducing training time, especially when labeled data is limited. This article presents a comparative analysis focused on eye localization and eye state classification tasks, which encompass both regression and classification challenges.
Fields of Study & Subjects
Face recognition and analysis
Emotion and Mood Recognition
Gaze Tracking and Assistive Technology
Publication details
- Journal / source
- Computer
- Volume
- 59
- Issue
- 2
- Pages
- 68–79
- Publication date
- 1 February 2026