https://github.com/RenMin1991/SIDE
공식 코드Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
Face Manifold: Manifold Learning for Synthetic Face Generation
Discrimination-aware Network Pruning for Deep Model Compression
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
RobFR: Benchmarking Adversarial Robustness on Face Recognition
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
CenterFace: Joint Face Detection and Alignment Using Face as Point
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing
Convolutional Experts Constrained Local Model for Facial Landmark Detection
FRoundation: Are Foundation Models Ready for Face Recognition?
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces
Multilinear Wavelets: A Statistical Shape Space for Human Faces
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
Learning to Impute: A General Framework for Semi-supervised Learning
Adaptive Threshold for Online Object Recognition and Re-identification Tasks
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.