Papers with Code 아카이브
Depth And Camera Motion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Surveillance Face Presentation Attack Detection Challenge
Instance-Aware Domain Generalization for Face Anti-Spoofing
Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less
Liveness score-based regression neural networks for face anti-spoofing
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
Surveillance Face Anti-spoofing
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography
Cyclically Disentangled Feature Translation for Face Anti-spoofing
Face Presentation Attack Detection
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss
Race Bias Analysis of Bona Fide Errors in face anti-spoofing
Forensicability Assessment of Questioned Images in Recapturing Detection
Face Anti-Spoofing from the Perspective of Data Sampling
Multi-domain Learning for Updating Face Anti-spoofing Models
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing
Post-Train Adaptive MobileNet for Fast Anti-Spoofing
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing
Generative Domain Adaptation for Face Anti-Spoofing
Online Adaptive Personalization for Face Anti-spoofing
Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models
A Novel Face-Anti Spoofing Neural Network Model For Face Recognition And Detection
Robust Face Anti-Spoofing with Dual Probabilistic Modeling
PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing
Flexible-Modal Face Anti-Spoofing: A Benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.