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Depth And Camera Motion
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
Face Anti-Spoofing with Human Material Perception
Creating Artificial Modalities to Solve RGB Liveness
Use of in-the-wild images for anomaly detection in face anti-spoofing
On Improving Temporal Consistency for Online Face Liveness Detection
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach
Federated Face Presentation Attack Detection
3D Face Anti-spoofing with Factorized Bilinear Coding
Learning Generalized Spoof Cues for Face Anti-spoofing
Single-Side Domain Generalization for Face Anti-Spoofing
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing
Unsupervised Learning of Camera Pose with Compositional Re-estimation
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Regularized Fine-grained Meta Face Anti-spoofing
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
Learning Residual Flow as Dynamic Motion from Stereo Videos
Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
Improving Self-Supervised Single View Depth Estimation by Masking Occlusion
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
Enhancing self-supervised monocular depth estimation with traditional visual odometry
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.