https://github.com/anjith2006/bob.paper.tifs2022_hfr_prepended_domain_transformer
Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.
The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.
<span style="color:grey; opacity: 0.6">( Image credit: Face Verification )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anuj-anuj/face-similarity
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aobaruwa/TensorFlow-Projects
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aoru45/Deep-Anomaly-Detection-for-Generalized-Face-Anti-Spoofing
https://github.com/apaz-cli/ML-ImageHash
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/aporw/Class-Attendance-Tool--Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/arkel23/Danbooru2018AnimeCharacterRecognitionDataset_Revamped
https://github.com/arsfutura/face-recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/asmadotgh/unc-net
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/atom06/Tiny_Faces_in_Tensorflow_v2
https://github.com/avuku06/G
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
https://github.com/bergerda1/PiFaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bethelhall/smart-attendance-system
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bielcarvalho/RPII-EP
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bingxinhu/arcface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/binjiezhang/RACT_ICLR2022
Towards Universal Backward-Compatible Representation Learning
https://github.com/bovifocr/insightface
https://github.com/bruceeeee/facenet
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/bruinxiong/Evaluation_IJBA
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
https://github.com/bxz9200/ultraclean
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
https://github.com/caihuaiguang/CHG-Shapley-for-Data-Selection
https://github.com/camel007/caffe-moon
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes
https://github.com/cat-claws/RobFace
https://github.com/cfl0122/face
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/chamikara1986/BA-BAM
https://github.com/chelsea234/m2f2_det
https://github.com/chengcv/J3S
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
https://github.com/chenggongliang/arcface
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/chenyeheng/SmartCar
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRec
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/chenyeheng/SmartCar-FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/choyingw/GD-HASLR
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
https://github.com/chroniccrash/facestuff
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/cindyloo/rockstar-ai
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/clcarwin/sphereface
https://github.com/clcarwin/sphereface_pytorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.