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/fengju514/Face-Pose-Net
공식 코드https://github.com/fvmassoli/trj-based-adversarials-detection
공식 코드https://github.com/garynlfd/kfc
공식 코드KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
https://github.com/grigorisg9gr/polynomial_nets
공식 코드https://github.com/guanjiyang/sac_jc
공식 코드https://github.com/hadushhailu/daal-dml
공식 코드DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning
https://github.com/haiyuwu/sota-face-recognition-train-and-test
공식 코드https://github.com/happynear/AMSoftmax
공식 코드https://github.com/happynear/NormFace
공식 코드https://github.com/happynear/PainRegression
공식 코드Regularizing Face Verification Nets For Pain Intensity Regression
https://github.com/hengxyz/Dynamic_multi-task-learning
공식 코드Dynamic Multi-Task Learning for Face Recognition with Facial Expression
https://github.com/hertasecurity/LTFT
공식 코드Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
https://github.com/huangyangyu/SeqFace
공식 코드SeqFace: Make full use of sequence information for face recognition
https://github.com/igsb/gestaltmatcher-arc
공식 코드Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles
https://github.com/ivclab/CPG
공식 코드Compacting, Picking and Growing for Unforgetting Continual Learning
https://github.com/jung-jun-uk/mixface
공식 코드MixFace: Improving Face Verification Focusing on Fine-grained Conditions
https://github.com/jung-jun-uk/unpg
공식 코드Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
https://github.com/kgrm/face-recog-eval
공식 코드Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
https://github.com/kjanjua26/Git-Loss-For-Deep-Face-Recognition
공식 코드https://github.com/ksasi/fairDL
공식 코드https://github.com/ligaripash/facecoresetnet
공식 코드FaceCoresetNet: Differentiable Coresets for Face Set Recognition
https://github.com/lucasxlu/TransFBP
공식 코드Transferring Rich Deep Features for Facial Beauty Prediction
https://github.com/manavkulshrestha/imgprov
공식 코드PROVES: Establishing Image Provenance using Semantic Signatures
https://github.com/marcohuber/xssab
공식 코드Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
https://github.com/mariusarvinte/robust-face-verification
공식 코드https://github.com/martlgap/human-machine-fusion
공식 코드Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach
https://github.com/martlgap/octuplet-loss
공식 코드Octuplet Loss: Make Face Recognition Robust to Image Resolution
https://github.com/martlgap/x-face-verification
공식 코드Explainable Model-Agnostic Similarity and Confidence in Face Verification
https://github.com/mk-minchul/adaface
공식 코드https://github.com/mk-minchul/caface
공식 코드Cluster and Aggregate: Face Recognition with Large Probe Set
https://github.com/mshaikh2/HDL_Forensics
공식 코드https://github.com/nithin-gk/t2v-ddpm
공식 코드T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
https://github.com/ntubiolin/xcos
공식 코드xCos: An Explainable Cosine Metric for Face Verification Task
https://github.com/ppolon/dcp
공식 코드Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
https://github.com/pterhoer/QMagFace
공식 코드QMagFace: Simple and Accurate Quality-Aware Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.