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Found 14 papers, 6 papers with code
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
A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype
On the largest of those sets, the proposed approach achieved an accuracy of 93. 44%.
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
In the context of biometrics, matching confidence refers to the confidence that a given matching decision is correct.
Ranked #1 on
Face Recognition
on MORPH
Explainable Biometrics in the Age of Deep Learning
Systems capable of analyzing and quantifying human physical or behavioral traits, known as biometrics systems, are growing in use and application variability.
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement
Morphing attacks are one of the many threats that are constantly affecting deep face recognition systems.
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
The competition attracted a total of 12 participating teams, both from academia and industry and present in 11 different countries.
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022).
Myope Models -- Are face presentation attack detection models short-sighted?
Presentation attacks are recurrent threats to biometric systems, where impostors attempt to bypass these systems.
Ranked #1 on
Face Presentation Attack Detection
on ROSE-YOUTU
FocusFace: Multi-task Contrastive Learning for Masked Face Recognition
The proposed architecture is designed to be trained from scratch or to work on top of state-of-the-art face recognition methods without sacrificing the capabilities of a existing models in conventional face recognition tasks.
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS).
CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance
Most oncological cases can be detected by imaging techniques, but diagnosis is based on pathological assessment of tissue samples.
Ranked #1 on
Colorectal Polyps Characterization
on CRC
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
Deep Learning Based Analysis of Prostate Cancer from MP-MRI
While for segmentation two models, two input sizes and data augmentations were experimented.
