https://github.com/KovenYu/state-information
공식 코드Weakly supervised discriminative feature learning with state information for person identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Robust face recognition is the task of performing recognition in an unconstrained environment, where there is variation of view-point, scale, pose, illumination and expression of the face images.
<span style="color:grey; opacity: 0.6">( Image credit: MeGlass dataset )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Weakly supervised discriminative feature learning with state information for person identification
TCDiff: Triple Condition Diffusion Model with 3D Constraints for Stylizing Synthetic Faces
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
Embedding Non-Distortive Cancelable Face Template Generation
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network
Improving Shadow Suppression for Illumination Robust Face Recognition
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Weakly supervised discriminative feature learning with state information for person identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.