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Found 16 papers, 7 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.
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
The study of oracle characters plays an important role in Chinese archaeology and philology.
Generalizable Facial Expression Recognition
To preserve the generalization ability of CLIP and the high precision of the FER model, we design a novel approach that learns sigmoid masks based on the fixed CLIP face features to extract expression features.
Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network
Previous methods typically employ an encoder-decoder structure to extract facial structural features, where the direct downsampling inevitably introduces distortions, especially to high-frequency features such as edges.
Marginal Debiased Network for Fair Visual Recognition
Deep neural networks (DNNs) are often prone to learn the spurious correlations between target classes and bias attributes, like gender and race, inherent in a major portion of training data (bias-aligned samples), thus showing unfair behavior and arising controversy in the modern pluralistic and egalitarian society.
Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence
In this paper, we show that using high-level contextualized features as prediction targets can achieve superior performance.
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
To address the conflicts among multiple tasks and meet the different demands of tasks, a Multi-Level Channel Attention (MLCA) module is integrated into each task-specific analysis subnet, which can adaptively select the features from optimal levels and channels to perform the desired tasks.
CornerFormer: Boosting Corner Representation for Fine-Grained Structured Reconstruction
Current transformer-based approaches tackle this challenging problem in a two-stage manner, which detect corners in the first model and classify the proposed edges (corner-pairs) in the second model.
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 #2 on
Face Verification
on CALFW
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
Person Re-Identification
Vocal Bursts Intensity Prediction
+1
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.
