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/heathentw/prnet-tf2
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
https://github.com/hectorgie/DeepFaceLab
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/hemanshanand/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/henriquemeloo/cat-dog-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/heorhii-bolotov/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hershd23/ObjectLocalizer
https://github.com/hggym/pigo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/hh-xiaohu/Image-augementation-pytorch
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/hhenryd/tap
https://github.com/hhj1897/face_detection
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/hhuaibo/darknet
https://github.com/hieu2906090/deep-learning-in-js
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hisiter97/darknet
https://github.com/hnVfly/pointnet.mxnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hnmspirit/pointnet1
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/hollance/BlazeFace-PyTorch
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/hollance/VGGNet-Metal
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/holman57/AI_Emotion_Detection
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/holstgr-kaust/keras-tutorials
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hongkunsun/paratranscnn
https://github.com/hongyi-zhang/Fixup
https://github.com/horizontel/aigibench
Generalizable Deepfake Detection via Effective Local-Global Feature Extraction
https://github.com/horse007666/ResNet
https://github.com/hqhoangvuong/paperspace_ml_01
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/hqli/face_recognition
https://github.com/hqng/imm-pytorch
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/hsd1503/resnet1d
https://github.com/hsinyilin19/resnetvae
https://github.com/hslrock/TripletLoss_Pytorch
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/huangshenneng/padd_retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/huashen218/multiturncleanup
Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
https://github.com/huawenwei4/dfl
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
https://github.com/hubert0527/COCO-GAN
https://github.com/hui-po-wang/hijackgan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/hukangli/https-github.com-deepinsight-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.