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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 13·5 min read
Gaze Target Estimation Anywhere with Concepts
TL;DR
A new approach called Promptable Gaze Target Estimation (PGE) enables flexible gaze target identification using natural language prompts. The GazeAnywhere model achieves state-of-the-art performance in gaze estimation, integrating subject localization and gaze prediction in a single framework.
✦ Why It Matters
Implement GazeAnywhere in your projects to enhance gaze estimation capabilities with natural language prompts.
Key Takeaways
- Utilize natural language prompts for gaze target identification.
- Implement GazeAnywhere for improved gaze estimation accuracy.
- Leverage the Gaze-Co dataset for training and benchmarking.
- Explore applications in real-world scenarios, including clinical settings.
How It Works
GazeAnywhere integrates subject localization and gaze estimation into a single model, using a transformer-based architecture. It processes both visual and textual prompts to identify specific gaze targets, eliminating the need for intermediate steps that can introduce errors.