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Languagebind Video V1.5 FT

Developed by LanguageBind
LanguageBind is a language-centric multimodal pretraining method that uses language as the bond between different modalities to achieve multimodal semantic alignment.
Downloads 853
Release Time : 11/26/2023

Model Overview

By leveraging language as the bridge between different modalities, LanguageBind extends video-language pretraining to various modalities (e.g., infrared, depth, audio) and achieves high-performance multimodal semantic alignment.

Model Features

Language-Centric Multimodal Alignment
Uses language as the bond between different modalities, leveraging the rich semantic information of language to achieve multimodal alignment.
Multimodal, Fully Aligned Dataset
Provides the VIDAL-10M dataset, containing 10 million data points covering video, infrared, depth, audio, and their corresponding language.
Multi-view Enhanced Training Descriptions
Generates multi-view descriptions by combining metadata, spatial, and temporal information, and enhances language semantics using ChatGPT.

Model Capabilities

Multimodal Semantic Alignment
Video-Language Pretraining
Infrared-Language Alignment
Depth-Language Alignment
Audio-Language Alignment

Use Cases

Multimodal Understanding
Video Content Understanding
Achieves deep understanding of video content through joint pretraining of video and language.
Achieves state-of-the-art performance on multiple datasets
Audio Content Understanding
Achieves semantic understanding of audio content through joint pretraining of audio and language.
Achieves state-of-the-art performance on 5 datasets
Cross-modal Retrieval
Video-Text Retrieval
Enables efficient retrieval between video content and text descriptions.
Audio-Text Retrieval
Enables efficient retrieval between audio content and text descriptions.
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