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Found 9 papers, 2 papers with code
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition
Although deep learning techniques have largely improved face recognition, unconstrained surveillance face recognition (FR) is still an unsolved challenge, due to the limited training data and the gap of domain distribution.
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Deep face recognition has achieved great success due to large-scale training databases and rapidly developing loss functions.
Ranked #1 on
Face Verification
on LFW
(Accuracy metric)
Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition
Face photo-sketch synthesis and recognition has many applications in digital entertainment and law enforcement.
Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition
The training of a deep face recognition system usually faces the interference of label noise in the training data.
Mixed High-Order Attention Network for Person Re-Identification
Then, rethinking person ReID as a zero-shot learning problem, we propose the Mixed High-Order Attention Network (MHN) to further enhance the discrimination and richness of attention knowledge in an explicit manner.
Ranked #4 on
Person Re-Identification
on CUHK03-C
Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation Network
Racial bias is an important issue in biometric, but has not been thoroughly studied in deep face recognition.
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments
Labeled Faces in the Wild (LFW) database has been widely utilized as the benchmark of unconstrained face verification and due to big data driven machine learning methods, the performance on the database approaches nearly 100%.
Linear Ranking Analysis
We extend the classical linear discriminant analysis (LDA) technique to linear ranking analysis (LRA), by considering the ranking order of classes centroids on the projected subspace.
In Defense of Sparsity Based Face Recognition
The success of sparse representation based classification (SRC) has largely boosted the research of sparsity based face recognition in recent years.
