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Found 7 papers, 2 papers with code
PCFGaze: Physics-Consistent Feature for Appearance-based Gaze Estimation
Although recent deep learning based gaze estimation approaches have achieved much improvement, we still know little about how gaze features are connected to the physics of gaze.
Jitter Does Matter: Adapting Gaze Estimation to New Domains
We evaluate the proposed method on four cross-domain gaze estimation tasks, and experimental results demonstrate that it significantly reduces the gaze jitter and improves the gaze estimation performance in target domains.
Generalizing Gaze Estimation With Rotation Consistency
Consequently, we propose the Rotation-enhanced Unsupervised Domain Adaptation (RUDA) for gaze estimation.
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
However, it lacks a guideline for designing deep learning algorithms for gaze estimation tasks.
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Different from common domain adaption methods, we propose a domain generalization method to improve the cross-domain performance without touching target samples.
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
Meanwhile, we also propose Adaptive Group Normalization to recalibrate eye features with the guidance of facial feature.
On the hard $γ$-ray spectrum of the potential PeVatron supernova remnant G106.3+2.7
The Tibet AS$\gamma$ experiment has measured $\gamma$-ray flux of supernova remnant G106. 3+2. 7 up to 100 TeV, suggesting it {being} potentially a "PeVatron".
High Energy Astrophysical Phenomena
