Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 26
- 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/yuvrajarora/CSCI5922_Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/yuxiangalvin/DeepLOB-Model-Implementation-Project
https://github.com/yuzq97/starter_project
Interpreting the Latent Space of GANs for Semantic Face Editing
https://github.com/yw0nam/DenseNet
https://github.com/yxgeee/MMT
https://github.com/yxlijun/s3fd.pytorch
https://github.com/yxu0611/tensorflow-implementation-of-lcnn
https://github.com/yyfsXZ/structured_self_attention_sent_embedding
https://github.com/yyk-wew/F3Net
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/yytang2012/darknet
https://github.com/yzhou359/MakeItTalk
https://github.com/yzyouzhang/AIR-ASVspoof
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
https://github.com/zachzhu2016/Spectraface
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zachzhu2016/thermal-face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zafartakekh/finddrop
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zengqunzhao/efficientface
https://github.com/zengqunzhao/ma-net
https://github.com/zenonLEE/MDFLD
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
https://github.com/zero-or-one/URP
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/zexUlt/facerec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/zgx0534/pointnet_win
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/zhangbo2008/best_pytorch_transformer
https://github.com/zhaoxin111/insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zhen8838/Circle-Loss
https://github.com/zheng-ningxin/Pruning-from-scratch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/zheng1weiyu/Insightface_for_FaceRecog
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zhixinshu/DeformingAutoencoders-pytorch
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
https://github.com/zhongzisha/object_detection
https://github.com/zhuccly/glomface-face-alignment
https://github.com/zhuccly/saat
https://github.com/zhusz/CVPR15-CFSS
https://github.com/zineos/blazeface
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/zisianw/FaceBoxes.PyTorch
https://github.com/zj463261929/darknet_mAP
https://github.com/zjZSTU/ResNet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.