https://github.com/ibug-group/face_reid
공식 코드A real-time and unsupervised face Re-Identification system for Human-Robot Interaction
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.
A real-time and unsupervised face Re-Identification system for Human-Robot Interaction
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
Leveraging Content and Context Cues for Low-Light Image Enhancement
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Towards Privacy-Preserving, Real-Time and Lossless Feature Matching
Unified and Multilingual Author Profiling for Detecting Haters
Compacting, Picking and Growing for Unforgetting Continual Learning
Data-specific Adaptive Threshold for Face Recognition and Authentication
How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition
Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
3D Face Morphing Attacks: Generation, Vulnerability and Detection
Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
Unsupervised Learning of Landmarks by Descriptor Vector Exchange
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
Robust Smart Home Face Recognition under Starving Federated Data
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.