GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection
Existing palm presentation attack detection (PAD) datasets are often limited by static imagery, restricted acquisition conditions, or insufficient multimodal video data, hindering systematic evaluation across environments, modalities, and attack types. We present GBU-Palm, a large-scale multimodal video dataset and benchmark containing 21,326 videos from 105 subjects and 210 palms across six acquisition environments, including bona fide, Print, and Replay presentations, with 6,310 synchronized RGB-NIR samples. We construct leakage-controlled protocols that separate palm identity and attack lin
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- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm ” ≈ “Developer-Y/cs-video-courses””
- FuzzySimilar title/name (fuzzy) · 59%jeinlee1991/chinese-llm-benchmark →
“Fuzzy title match (0.73): “GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm ” ≈ “jeinlee1991/chinese-llm-benchmark””
- LinkedLinked via arxiv author · 85%Yingjie Ma →
“GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection”
- LinkedLinked via arxiv author · 85%Zitong Yu →
“GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection”
- LinkedLinked via arxiv author · 85%Yunwei Jiang →
“GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection”
- LinkedLinked via arxiv author · 85%Ajay Kumar →
“GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection”
- LinkedLinked via arxiv author · 85%Linlin Shen →
“GBU-Palm: A Multimodal Video Dataset and Benchmark for Palm Presentation Attack Detection”