Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Last update: Jun 02, 2022

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Deep Learning FGHV

Overview

FGHV

Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Requirements

Python 3.6
Pytorch 1.5.0
Cuda 10.1

Citation

Please consider citing our paper in your publications if the project helps your research. BibTeX reference is as follow.

@inproceedings{Liu_2022_AAAI,
  title={Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing},
  author={Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang M},
  booktitle={Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)},
  pages={},
  year={2022}
}

Owner

GitHub Repository

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Impelmentation for paper Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

Related tags

Overview

FGHV

Requirements

Citation

Owner

A Python training and inference implementation of Yolov5 helmet detection in Jetson Xavier nx and Jetson nano

Multi-task head pose estimation in-the-wild

Computationally efficient algorithm that identifies boundary points of a point cloud.

Implementation of Stochastic Image-to-Video Synthesis using cINNs.

Fashion Entity Classification

🤗 Paper Style Guide

[ICCV 2021 Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

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COIN the currently largest dataset for comprehensive instruction video analysis.

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