AI Paper Atlas

Research map / Label-efficient and robust learning / Domain adaptation and generalization

Learning a Generalized Gaze Estimator from Gaze-Consistent Feature

AAAI 2023 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Augmentation and mixture-of-experts generalization · 27 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
disturb identity, expression, illumination and tone, then align original and disturbed gaze featuresResNet-18 gaze estimator · ETH-XGaze → MPIIGazeangular error (°): 8.80 -> 6.50Helped
disturb identity, expression, illumination and tone, then align original and disturbed gaze featuresResNet-18 gaze estimator · ETH-XGaze → EyeDiapangular error (°): 8.52 -> 7.44Helped
disturb identity, expression, illumination and tone, then align original and disturbed gaze featuresResNet-18 gaze estimator · Gaze360 → MPIIGazeangular error (°): 8.18 -> 7.55Helped
disturb identity, expression, illumination and tone, then align original and disturbed gaze featuresResNet-18 gaze estimator · Gaze360 → EyeDiapangular error (°): 9.00 -> 9.03No clear effect
add identity disturbance (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 8.31Helped
add expression disturbance (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 7.65Helped
add illumination disturbance (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 7.52Helped
add tone disturbance (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 8.25Helped
add identity and tone disturbance (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 7.48Helped
disturb all four gaze-irrelevant factors instead of no factors (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.63 -> 7.63Helped
set adversarial noise intensity to ϵ = 0.2 instead of ϵ = 0.1 (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 7.63 -> 9.73Hurt
align features with MMD rather than training on disturbed data without feature alignment (ablation)gaze estimator · four domain generalization tasks (Avg)angular error (°): 8.30 -> 7.63Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy