Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing
Interference factors in visible light image data, such as backgrounds and lighting, often lead to poor performance of RGB-based single-modality face anti-spoofing methods. To address these limitations, we propose an innovative face anti-spoofing framework. Within this framework, we design a convolut...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2025-01-01
|
| シリーズ: | IEEE Access |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10855450/ |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|