OSF
open access
Cross-Domain Evaluation and Fine-Tuned Adaptation of iCatcher+ for Korean Infant Gaze Data
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Trial of Hoya SYNC III Design Lenses#1046976
- EEG blink and gaze control using random forest classification for accessible assistive robotic navigation in real world conditions.#975795
- Marker-free eye-gaze estimation using a single image and depth from defocus#987947
- Multistage Machine Learning Reveals Circadian Gene Programs and Supports a Retina-Choroid Axis in Myopia Development#154913
- Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action Acceleration#1142080
Record · ID 123735
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive