EYEDIAP
Introduced by Kenneth Alberto Funes Mora et al. in EYEDIAP: a database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras
The EYEDIAP dataset is a dataset for gaze estimation from remote RGB, and RGB-D (standard vision and depth), cameras. The recording methodology was designed by systematically including, and isolating, most of the variables which affect the remote gaze estimation algorithms:
- Head pose variations.
- Person variation.
- Changes in ambient and sensing condition.
- Types of target: screen or 3D object.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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EYEDIAP (screen target)
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RecurrentGaze
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EYEDIAP (floating target)
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RecurrentGaze
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Papers
| Paper | Code | Results | Date | Stars |
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