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Found 8 papers, 1 papers with code
Post-Train Adaptive U-Net for Image Segmentation
The final trained model can be switched at runtime between 6 PTA configurations, which differ by inference time and quality.
Post-Train Adaptive MobileNet for Fast Anti-Spoofing
However, a single model might not give the best results for different device performance categories, while training multiple models is time consuming.
Faster Optimization-Based Meta-Learning Adaptation Phase
In certain cases, quality improvement is possible by a careful pattern selection.
Face Detection on Mobile: Five Implementations and Analysis
In many practical cases face detection on smartphones or other highly portable devices is a necessity.
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
We propose and investigate the use of methods from the family of Simultaneous Perturbation Stochastic Approximation (SPSA) for optimization of meta-train tasks weights.
Mobile Access Control System Based on RFID Tags And Facial Information
Also, we propose a mobile application that allows gate registration and serves as a door unlock key.
Cryptography and Security
Fast Facial Landmark Detection and Applications: A Survey
Dense facial landmark detection is one of the key elements of face processing pipeline.
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping
The presented adversarial attack analysis and the idea of attack scoping can be easily expanded to different datasets, thus making the paper's results applicable to a wide range of practical tasks.
