Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 25
- 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/cydonia999/VGGFace2-pytorch
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/daimonae/Fundus-Image-Classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/dakenan1/Everybody-Dance-Now
https://github.com/dalisson/am_softmax
https://github.com/danielamassiceti/CCA-visualdialogue
https://github.com/danielparada1/RL_SpaceInvaders
https://github.com/danmohaha/CVPRW2019_Face_Artifacts
Exposing DeepFake Videos By Detecting Face Warping Artifacts
https://github.com/danmohaha/WIFS2018_In_Ictu_Oculi
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
https://github.com/darkAlert/retinafacert
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/darrishabh/coviprox
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/darshans0200/YOLOTest
https://github.com/dataflowr/self-attentive-sentence-embedding
https://github.com/datawiz1984/MLND_Capstone_Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/datawiz1984/malaria-model
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/datoboat/Vehicle-Detection
https://github.com/daveboat/pytorch_focal_loss
https://github.com/davisking/dlib
https://github.com/dc17540/darknet
https://github.com/dchen236/FairFace
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/dead-mazai/avia-missing-airplanes
https://github.com/decile-team/cords
https://github.com/deepakks1995/inception
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/deepfakes/faceswap
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
https://github.com/deepinx/SDU_face_alignment
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
https://github.com/deepinx/ShuffleNet_v1_and_v2
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/deepinx/iqiyi-vid-challenge
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/deepinx/sdu-face-alignment
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
https://github.com/deepinx/shufflenet-v1-and-v2
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/deeplearning987/DoodleClassifier
https://github.com/deeplearningnapratica/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/deepmind/dm-haiku
https://github.com/deepmodeling/deepmd-kit
https://github.com/deepquestai/fire-smoke-dataset
https://github.com/deftruth/torchlm
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.