https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet
FaceNet: A Unified Embedding for Face Recognition and Clustering
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.
FaceNet: A Unified Embedding for Face Recognition and Clustering
Very Deep Convolutional Networks for Large-Scale Image Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
FaceNet: A Unified Embedding for Face Recognition and Clustering
Progressive Growing of GANs for Improved Quality, Stability, and Variation
PCANet: A Simple Deep Learning Baseline for Image Classification?
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Very Deep Convolutional Networks for Large-Scale Image Recognition
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
FaceNet: A Unified Embedding for Face Recognition and Clustering
Very Deep Convolutional Networks for Large-Scale Image Recognition
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Very Deep Convolutional Networks for Large-Scale Image Recognition
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
FaceNet: A Unified Embedding for Face Recognition and Clustering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.