https://github.com/espressif/esp-who
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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.
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Very Deep Convolutional Networks for Large-Scale Image Recognition
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Very Deep Convolutional Networks for Large-Scale Image Recognition
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
Selective Refinement Network for High Performance Face Detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
High-Resolution Representations for Labeling Pixels and Regions
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
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.