https://github.com/tueboesen/a-optimal-active-learning
Cost-Effective Active Learning for Deep Image Classification
Papers with Code 아카이브
Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 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/tungdt92/GFA-CNN
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
https://github.com/tuyentv2009/Face-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/umitkacar/ai-edge-computing
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
https://github.com/v-trungdt21/MaskTheFace
https://github.com/varununleashed/tiny_faces_temp
https://github.com/vbonifaci/l1opt
https://github.com/viebboy/MultilinearCompressiveLearningWithPrior
https://github.com/vinairesearch/lemul
https://github.com/vinayakkailas/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vincenthanna/facenet_on_mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vitoralbiero/face_analysis_pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vladimirwest/insightface_cinematic
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vnbot2/arcface
https://github.com/vohoaiviet/sphereface
https://github.com/voqtuyen/CDCN-Face-Anti-Spoofing.pytorch
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
https://github.com/vvictoryuki/freedom
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/w510056105/DeepLearning
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/wangshanmin/interface
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wangx404/script_for_downloading_IMDb_face
https://github.com/wondonghyeon/face-classification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/wujiyang/Face_Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/wujpbb7/caffe_circleloss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/xg416/DATUM
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
https://github.com/xg416/mambatm
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
https://github.com/xiaoccer/mobilefacenet_pytorch
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/xiaoxiong74/face-cluster-by-infomap
https://github.com/xilinx/finn-examples
https://github.com/xmu-xiaoma666/External-Attention-pytorch
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/xmu-xiaoma666/RepMLP-pytorch
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/yangyucheng000/-insightface
https://github.com/yangyucheng000/Paper-2/tree/main/ARCM-main
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/yangyucheng000/Paper-4/tree/main/JLONMFSC
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
https://github.com/yangyucheng000/Paper-4/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
https://github.com/yangyucheng000/Paper-4/tree/main/PDOC_mindspore
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/yangyucheng000/papercode-2/tree/main/JLONMFSC-master
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.