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/Doyosae/Deep_Complex_Networks
https://github.com/DrMMZ/RetinaNet
https://github.com/DrRyanHuang/VGGNet
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Duplums/bhb10k-dl-benchmark
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/EMsnap/RobotSorting
https://github.com/ENSTA-U2IS-AI/torch-uncertainty
https://github.com/EdenMelaku/Transfer-Learning-Pytorch-Implementation
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/EdenMelaku/Transfer-Learning-Pytorch-Implmentation
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/EiroaMD/final_project_IH_pneumonia
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ElenaRyumina/EMO-AffectNetModel
https://github.com/Eltomad/Noiseface
https://github.com/Eltomad/Tiny_Faces
https://github.com/Eltomad/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/EngineeringSapien/NarutoCV
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/EricAlcaide/MiniFold
https://github.com/EricZgw/PyramidBox
https://github.com/EstherBear/implementation-of-pruning-filters
https://github.com/EverLookNeverSee/diag2model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/EverLookNeverSee/fer_tl_dcnn
https://github.com/EvgenyDyshlyuk/DeepLearning_face_detection_embeddings_clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyDyshlyuk/Deep_Learning_Face_Detection_Embeddings_Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyDyshlyuk/Face_detection_embeddings_clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/EvgenyVendrov/DeepLearningCourse
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ExplainableML/UncerGuidedI2I
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding
https://github.com/FEIfei-coder/circle-loss-for-reid
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/FL77N/RetinaNet-Based-on-PPdet
https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Android
https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux
https://github.com/Faceplugin-ltd/FaceRecognition-Android
https://github.com/FairUnlearn/detoxai
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/FanjieLUO/matlab
https://github.com/FirstPotatoMan/TensorflowJS_ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/FlameRB/Face-Detection-using-Deep-Learning
Multi-view Face Detection Using Deep Convolutional Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.