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/gokulprasadthekkel/pytorch-multi-class-focal-loss
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/google/youtube-8m
https://github.com/gopi-kampli/ImageClusteringDL
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gouthamvgk/facemesh_coreml_tf
https://github.com/gox-ai/hrnet-pose-api
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/gpleiss/limits_of_large_width
https://github.com/gpspelle/Crowd-Counting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/gregoiredervaux/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/grey-eye/talking-heads
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/griffinbran/machines_best_friend
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/grip-unina/GANimageDetection
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
https://github.com/gscdit/Mood-Analysis
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/gundeep15/SCD_AI_Project
https://github.com/guoqiangqi/PFLD
https://github.com/guppykang/joshFaceV2
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gurkirt/realtime-action-detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/gurushantj/MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/gyes00205/waymo_tf_object_detection
https://github.com/haaz77/keras-tutorials
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/haithink/myWindowsDarknet
https://github.com/hakaneroztekin/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/hamzaMahdi/darknet
https://github.com/hankpark0706/darknet
https://github.com/hantek/SelfAttentiveSentEmbed
https://github.com/hao-qiang/GANimation-tf
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/haonanguo/remote-sensing-chatgpt
https://github.com/happy-jihye/Cartoon-StyleGAN
https://github.com/hardik-uppal/CNN-fusion-networks
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
https://github.com/harunshimanto/Neural-Style-Transfer-of-Artistic-Style
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/hashmatshadab/apr
https://github.com/hazdzz/BGU
https://github.com/hcholab/k-salsa
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/hcygeorge/aoi_defect_detection
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.