Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 평가표
- 0
- 보존된 평가 기록
- 0
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sungyoonahn/Hint-based-image-colorization-using-Attention-Unet
https://github.com/sunil-rival/insightface
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/sunjungAn/Tensorflow2.x-CV
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sunlizhuang/YOLOv1-PaddlePaddle
https://github.com/sunnysoni97/single_image_fl
https://github.com/superaidou123/face_classification
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/suruoxi/DistanceWeightedSampling
https://github.com/susmith98/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/susomena/DeepSlowMotion
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/suyash0612/face_recognitionandverification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/svdesai/heading-date-estimation
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/svjack/Detector-in-Detector
https://github.com/sw-gong/spiralnet_plus
4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications
https://github.com/swasun/VQ-VAE-images
https://github.com/swayanshu/Deep-Fake-Detection
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/swetak20/Deep_into_CNNs
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/swghosh/DeepFace
https://github.com/syiin/ann_cancer_detection
https://github.com/syiin/resnet_cancer_detection
https://github.com/t-ae/progan-s4tf
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/t0930198/backup
https://github.com/taekwan-lee/Virtual-Softmax-TF
https://github.com/tahasamavati/facial_expression_recognition_cnn
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/takhemlata/ssl_anti-spoofing
https://github.com/takiyu/hyperface
https://github.com/tallysprado/myDarknet
https://github.com/tamerthamoqa/facenet-pytorch-glint360k
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/tamnil/esp32-xtensa-study
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/taniokah/liarr2017
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tanjeffreyz/deep-residual-learning
https://github.com/tanmaysingha/2D-3D-FAN
https://github.com/taotaonice/FaceShifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/tarun-98/COMP8240_Project_GroupG
Facial Motion Prior Networks for Facial Expression Recognition
https://github.com/taylorlu/ghostvlad-speaker
https://github.com/tbmoon/facenet
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.