Face Presentation Attack Detection Using Deep Background Subtraction
PulseAugur coverage of Face Presentation Attack Detection Using Deep Background Subtraction — every cluster mentioning Face Presentation Attack Detection Using Deep Background Subtraction across labs, papers, and developer communities, ranked by signal.
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Face-free dataset of vegetables improves presentation attack detection
Researchers have developed a novel approach to face presentation attack detection (PAD) by training models on a dataset of tomatoes, potatoes, and onions (TPO) instead of faces. This face-free dataset, comprising bona f…
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Foundation models struggle with cross-dataset face attack detection
A new study published on arXiv investigates the effectiveness of foundation models (FMs) for face presentation attack detection (PAD). The research found that while LoRA-based adaptation can achieve low intra-dataset er…
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Foundation models show promise for face attack detection but struggle with cross-dataset transfer
Researchers have investigated the effectiveness of foundation models for face presentation attack detection (PAD) by evaluating 24 frozen encoders using a unified linear-probing protocol. The study found that while thes…
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Vision Transformers reduce demographic bias in face anti-spoofing systems
A new study published on arXiv investigates the impact of Vision Transformer (ViT) architectures on demographic bias in face presentation attack detection (PAD) systems. The research compares ViTs against convolutional …