RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

ECCV 2018 Tobias FischerHyung Jin ChangYiannis Demiris

In this work, we consider the problem of robust gaze estimation in natural environments. Large camera-to-subject distances and high variations in head pose and eye gaze angles are common in such environments... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Gaze Estimation MPII Gaze RT-GENE single model Angular Error 4.8 # 4
Gaze Estimation MPII Gaze RT-GENE 4 model ensemble Angular Error 4.3 # 2
Gaze Estimation MPII Gaze RT-GENE 2 model ensemble Angular Error 4.6 # 3
Gaze Estimation RT-GENE RT-GENE 4 model ensemble Angular Error 7.7 # 1
Gaze Estimation UT Multi-view RT-GENE 4 model ensemble Angular Error 5.1 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet