# Video-Language Pretraining

LanguageBind is a pretrained model that achieves multimodal semantic alignment through language, capable of binding various modalities such as video, audio, depth, and thermal imaging with language to enable cross-modal understanding and retrieval.

LanguageBind is a language-centric multimodal pretraining method that uses language as the bond between different modalities to achieve multimodal semantic alignment.

LanguageBind is a language-centric multimodal pretraining method that achieves semantic alignment by using language as the bridge between different modalities.

LanguageBind is a language-centric multimodal pretraining method that uses language as the bond between different modalities to achieve semantic alignment across video, infrared, depth, audio, and other modalities.

LanguageBind is a multimodal model that extends video-language pretraining to N modalities through language-based semantic alignment, accepted by ICLR 2024.

LanguageBind is a language-centric multimodal pretraining method that uses language as the bond between different modalities to achieve semantic alignment.

LanguageBind is a language-centric multimodal pretraining method that uses language as the bond between different modalities to achieve semantic alignment across video, infrared, depth, audio, and other modalities.

LanguageBind is a multimodal pretraining framework that extends video-language pretraining to N modalities through language semantic alignment, accepted by ICLR 2024.

LanguageBind is a pretraining framework that achieves multimodal semantic alignment through language as the bond, supporting joint learning of various modalities such as video, infrared, depth, and audio with language.