Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/ZhiwenShao/JAANet
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment
https://github.com/ZmeiGorynych/transformer_pytorch
https://github.com/ZoieMo/Multi-task
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
https://github.com/a514514772/hijackgan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/a736875071/clip-vit-large-patch14
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/aakashjhawar/traffic-sign-detection
https://github.com/aannirajpatel/COMP562-Face-Mask-Detect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/aayushdD/Face_recognition-Keras-openface
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aba450/Super-Resolution
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/abaietto/neural_ode_classification
https://github.com/abel-leulseged/Quick-Draw
https://github.com/abhi1kumar/hrnet_pose_single_gpu
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/abhi2610/ohem
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/abhiexo/Deep_Learning-2
https://github.com/abuchin/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/abuchin/resnet_sign
https://github.com/aby2s/sharpmask
https://github.com/acnazarejr/fdet
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/adambielski/siamese-triplet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aditya26-09/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/adldotori/ResNet
https://github.com/adldotori/pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/adobe-research/MakeItTalk
https://github.com/aejion/neuface
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations
https://github.com/affromero/SMILE
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/afourast/avobjects
https://github.com/afrazsalim/WebBasedGameWithNodeJs
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/agrawalparth10/Face-is-the-Key
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/agutuyen-dev/darknet
https://github.com/ahhan02/darknet-alex
https://github.com/ahmad0790/svhn-multi-digit-address-recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ahmed127011/RNDF
https://github.com/ahmedbesbes/whales-classification
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ahmedbhna/VGG_Paper
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/aiinai/tf-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.