What question did this study set out to answer?

This research aims to improve face detection accuracy and processing speed using the Faster R-CNN framework.

May 1, 2017

Face Detection with the Faster R-CNN

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial applies Faster R-CNN to enhance face detection accuracy, indicating improved performance across benchmarks.

This research aims to improve face detection accuracy and processing speed using the Faster R-CNN framework.
Applied Faster R-CNN model to face detection.
Trained on the large scale WIDER face dataset.
Evaluated performance on WIDER test set, FDDB, and IJB-A benchmarks.
Achieved state-of-the-art results on the WIDER test set.
Demonstrated improved accuracy on FDDB and IJB-A benchmarks compared to existing methods.

Jiang et al. (2017) studied this question.

View Full Paper

Ask AI

Bookmark