LanguageBind aligns video, infrared, depth, and audio to a frozen language encoder via contrastive learning on the new VIDAL-10M dataset, extending video-language pretraining to N modalities.
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Proposes an online hand gesture recognition system using 3D CNNs achieving 98%+ detector accuracy and 90%+ classifier accuracy on Jester, with 37.5% Levenshtein accuracy on a homemade dataset.
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LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
LanguageBind aligns video, infrared, depth, and audio to a frozen language encoder via contrastive learning on the new VIDAL-10M dataset, extending video-language pretraining to N modalities.
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Online Hand Gesture Recognition Using 3D Convolutional Neural Networks
Proposes an online hand gesture recognition system using 3D CNNs achieving 98%+ detector accuracy and 90%+ classifier accuracy on Jester, with 37.5% Levenshtein accuracy on a homemade dataset.