https://github.com/HRNet/HRNet-Human-Pose-Estimation
High-Resolution Representations for Labeling Pixels and Regions
Papers with Code 아카이브
Face Alignment
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Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HRNet/HRNet-Image-Classification
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/HRNet/HRNet-MaskRCNN-Benchmark
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/HRNet/HRNet-Object-Detection
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/HRNet/HRNet-Semantic-Segmentation
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/HavenFeng/photometric_optimization
https://github.com/Hikaylee/SynergyNet
Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
https://github.com/HongwenZhang/JVCR-3Dlandmark
https://github.com/Jagannathrk2020/Face-detection-and-counting-
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Jarr0d/Human-Parsing-Network
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/JiangShaoYin/DAN
Deep Alignment Network: A convolutional neural network for robust face alignment
https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Mind23-2/MindCode-101/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-3/tree/main/HRNetW48_seg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/Mind23-2/MindCode-4/tree/main/hrnet
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/Mind23-2/MindCode-59
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceRecognitionForTracking
https://github.com/MindSpore-paper-code-3/code6/tree/main/ADNet
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceRecognitionForTracking
https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceRecognitionForTracking
https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Ontheway361/pfld-pytorch
https://github.com/PaddlePaddle/PaddleClas
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/PaddlePaddle/PaddleDetection
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/PaddlePaddle/PaddleSeg
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/QianliM/CAPE
https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
https://github.com/RomanticWithoutStatus/PFLD-TensorFlow2caffe
https://github.com/Rosie-Brigham/sesmeg
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/Rubikplayer/flame-fitting
https://github.com/SSusantAchary/FaceDetection-counting-using-MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/SongJieLiu/pfld
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.