Search Results for author:
Found 3 papers, 2 papers with code
Model Compression Techniques in Biometrics Applications: A Survey
The development of deep learning algorithms has extensively empowered humanity's task automatization capacity.
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition
We investigate the overall performance, the performance on each ethnicity subgroup and the racial bias of a State-of-the-Art quantization approach when used with synthetic and real data.
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
Over time they have become simpler to perform and more realistic, as such, the usage of deep learning systems to detect these attacks has grown.
Ranked #1 on
Face Morphing Attack Detection
on FRLL-Morphs
Cannot find the paper you are looking for? You can
Submit a new open access paper.
