Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 25
- 보존된 평가 기록
- 88
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/Mind23-2/MindCode-3/tree/main/MaskedFaceRecognition
https://github.com/Mind23-2/MindCode-56
https://github.com/Mind23-2/MindCode-70
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Mind23-2/MindCode-88/tree/main/sphereface
SphereFace Revived: Unifying Hyperspherical Face Recognition
https://github.com/Mind23-2/MindCode-95
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/MindCode-4/code-11/tree/main/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/MindCode-4/code-6/tree/main/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/MindSpore-paper-code-2/code3/tree/main/STPM
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
https://github.com/MindSpore-paper-code-3/code2/tree/main/DeepID
https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MindSpore-paper-code-3/code6/tree/main/cdp
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceRecognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MindSpore-paper-code-3/code8/tree/main/DeepID
https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceRecognition
https://github.com/MindSpore-paper-code-3/code8/tree/main/faceboxes
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MindSpore-scientific-2/code-11/tree/main/SV-X-Softmax
https://github.com/MindSpore-scientific/code-3/tree/main/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/MohamadMerchant/Voice-Authentication-and-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MouxiaoHuang/DUL
https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Mrzhang3389/FaceRecognition
https://github.com/Mungosin/Mozgalo
https://github.com/Nacriema/Robust_Face_Recognition
Improving Shadow Suppression for Illumination Robust Face Recognition
https://github.com/Natty07/Deep_Learning
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/NetoPedro/VGGFace2-Test
VGGFace2: A dataset for recognising faces across pose and age
https://github.com/NickKaparinos/Google-Landmark-Recognition-2021
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/One-sixth/CVAE-GAN_tensorlayer
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
https://github.com/Ontheway361/dul-pytorch
https://github.com/PaddlePaddle/PLSC
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/PietroMelzi/GANDiffFace
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
https://github.com/Porechniy13/FaceReco
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/PushpakBhoge/Face_Recognition_TF
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/QuocThangNguyen/deep-metric-learning-tsinghua-dogs
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Ram81/AC-VAEGAN-PyTorch
CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection
Deep Learning Face Representation by Joint Identification-Verification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.