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/ZHANG-SHI-CHANG/Pytorch_Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/ZTao-z/multiflow-resnet-ssd
https://github.com/ZhaoJ9014/face.evoLVe
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/ZhenJie-Zhang/darknet_shoe
https://github.com/aakashjhawar/traffic-sign-detection
https://github.com/aayushdD/Face_recognition-Keras-openface
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/abhi2610/ohem
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/abuchin/face_recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/acnazarejr/fdet
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/adambielski/siamese-triplet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aditya26-09/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/afrazsalim/WebBasedGameWithNodeJs
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/agrawalparth10/Face-is-the-Key
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/agutuyen-dev/darknet
https://github.com/ahhan02/darknet-alex
https://github.com/ahmedbesbes/whales-classification
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/aiinai/tf-insightface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/akshaybahadur21/Facial-Recognition-using-Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/akshayraghavan21/Face_Recognition_Using_Facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/albanie/mcnCrossModalEmotions
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/alexattia/ExtendedTinyFaces
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/alibaba/EasyCV
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/alililia/ascend_sphereface
https://github.com/alililia/gpu_sphereface
https://github.com/alililia/ms_extend/tree/main/gpu_retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/altndrr/persona
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/altomator/Introduction_to_Deep_Learning-2-Face_Detection
https://github.com/alvinwan/shiftresnet-cifar
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
https://github.com/aminekha/AI-For-2022
https://github.com/amittiwary42/target-detection-eeg-signals
https://github.com/anax32/dimensionality-reduction
https://github.com/anhttran/3dmm_basic
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
https://github.com/anhttran/3dmm_cnn
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
https://github.com/anhtu293/Vietnamese-Celebrity-Face-Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/annabellachen/newDarknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.