https://github.com/KamyarGh/rl_swiss
공식 코드A Divergence Minimization Perspective on Imitation Learning Methods
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A Divergence Minimization Perspective on Imitation Learning Methods
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
Weakly supervised discriminative feature learning with state information for person identification
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition
SafeEar: Content Privacy-Preserving Audio Deepfake Detection
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
World Model as a Graph: Learning Latent Landmarks for Planning
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Deep Alignment Network: A convolutional neural network for robust face alignment
HoloFace: Augmenting Human-to-Human Interactions on HoloLens
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.