Papers with Code 아카이브
Face Verification
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Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Shraddha2013/darknett
https://github.com/Shraddha2013/darknetyol
https://github.com/Shraddha2013/darknetyolo
https://github.com/Shraddha2013/darknetyolo3
https://github.com/Shraddha2013/mydarknetyolo
https://github.com/Shraddha2013/myfileyolo
https://github.com/SohamSarfare/ADS
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Soldie/insightface-Rec.Face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/StanislasBertrand/RetinaFace-tf2
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/StanislasBertrand/retinaface4j
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Stephenfang51/Focal_loss_turtorial
https://github.com/Suci2609/generate_train_list.py-
https://github.com/Surya9787/suryaprakash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Sushma07/dancedarknet
https://github.com/Talgin/facerec
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Techyee/darknet_resource
https://github.com/TejasGode/One-Shot-Learning-for-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow
https://github.com/TinDang97/face_recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/TinyZeaMays/CircleLoss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/TowardHumanizedInteraction/TripletFace
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/TreB1eN/InsightFace_Pytorch
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/Trustworthy-AI-Group/TransferAttack
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
https://github.com/Unturned3/mtcnn
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Viveksbawa/SARAS-ESAD-Baseline
https://github.com/WangChen0902/RetinaFace-Paddle
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Wangxy2180/darknetKinectDetect
https://github.com/WeidiXie/Keras-VGGFace2-ResNet50
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/XuyangBai/D3Feat
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/YIZHE12/fashiontags
https://github.com/YIZHE12/robots
https://github.com/YadiraF/DECA
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/Yang-Q-D/mindsporeCode/tree/master/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/Yashgh7076/Eluvio-ML-Scene-Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.