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Languagebind Video Merge

Developed by LanguageBind
LanguageBind is a multimodal model that extends video-language pretraining to N modalities through language-based semantic alignment, accepted by ICLR 2024.
Downloads 10.96k
Release Time : 11/21/2023

Model Overview

LanguageBind adopts a language-centric multimodal pretraining approach, binding different modalities through language to support semantic alignment across video, audio, depth, thermal imaging, and more.

Model Features

Language-Centric Multimodal Alignment
Using language modality as a bridge to achieve semantic alignment across video, audio, depth, thermal imaging, and other modalities
Massive Multimodal Dataset
Provides the VIDAL-10M dataset, containing 10 million cross-modal data points spanning video, infrared, depth, audio, and their corresponding language
Multi-perspective Enhanced Description Training
Enhances language descriptions from multiple perspectives, integrating metadata, spatial and temporal information, and using ChatGPT to augment language descriptions

Model Capabilities

Video-Language Semantic Alignment
Audio-Language Semantic Alignment
Depth Image-Language Semantic Alignment
Thermal Imaging-Language Semantic Alignment
Cross-modal Similarity Calculation

Use Cases

Video Understanding
Video Retrieval
Retrieve relevant video content through text queries
Achieves 44.8 zero-shot retrieval accuracy on the MSR-VTT dataset
Audio Analysis
Audio Event Detection
Identify specific events or sounds in audio
Achieves SOTA performance on 5 audio datasets
Special Visual Modality Processing
Thermal Imaging Analysis
Understand the content and semantics of thermal images
Depth Image Understanding
Parse scenes and objects in depth images
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