Abstract: Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These ...
Abstract: At present, deep face recognition models working on millions of images are confronted with the challenge that such large-scale datasets are often corrupted with noises and mislabeled ...
A real-time face recognition-based attendance system built with Flask, OpenCV, and face_recognition. This project enables automatic attendance marking, user management, live monitoring, and ...
A comprehensive Python-based face recognition attendance system that automatically detects and recognizes faces from a webcam feed and marks attendance in CSV files. The system uses OpenCV for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results