https://github.com/zachzhu2016/thermal-face-recognition
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
FaceNet: A Unified Embedding for Face Recognition and Clustering
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
FaceNet: A Unified Embedding for Face Recognition and Clustering
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
Deep Alignment Network: A convolutional neural network for robust face alignment
Very Deep Convolutional Networks for Large-Scale Image Recognition
Weakly supervised discriminative feature learning with state information for person identification
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.