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VCGBench-Diverse

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Benchmarks

VideoInstruct

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Most implemented

Papers

VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding

2024-06-13 · Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Khan

Building on the advances of language models, Large Multimodal Models (LMMs) have contributed significant improvements in video understanding. While the current video LMMs utilize advanced Large Language Models (LLMs), th…

Dense Video CaptioningMVBenchQuestion AnsweringVCGBench-Diverse+10

VTimeLLM: Empower LLM to Grasp Video Moments

2023-11-30 · CVPR 2024 1 · Bin Huang, Xin Wang, Hong Chen, Zihan Song 외

Large language models (LLMs) have shown remarkable text understanding capabilities, which have been extended as Video LLMs to handle video data for comprehending visual details. However, existing Video LLMs can only prov…

Dense Video CaptioningTemporal Relation ExtractionVCGBench-DiverseVideo-based Generative Performance Benchmarking+8

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

2023-11-28 · CVPR 2024 1 · Kunchang Li, Yali Wang, Yinan He, Yizhuo Li 외

With the rapid development of Multi-modal Large Language Models (MLLMs), a number of diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities of these models. However, most benchmarks predom…

3D Question Answering (3D-QA)DiagnosticFairnessMultiple-choice+12

Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

2023-11-14 · CVPR 2024 1 · Peng Jin, Ryuichi Takanobu, Wancai Zhang, Xiaochun Cao 외

Large language models have demonstrated impressive universal capabilities across a wide range of open-ended tasks and have extended their utility to encompass multimodal conversations. However, existing methods encounter…

Image-based Generative Performance BenchmarkingLanguage ModelingLanguage ModellingScience Question Answering+11

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

2023-06-08 · Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan

Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data. While there have been initial attempts for image-based conversation models, this work addresses the under-e…

Question AnsweringVCGBench-DiverseVideo-based Generative Performance BenchmarkingVideo-based Generative Performance Benchmarking (Consistency)+7