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Zero-Shot Video Question Answer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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This task present the results of Zeroshot Question Answer results on TGIF-QA dataset for LLM powered Video Conversational Models.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Qwen2.5-Omni Technical Report
Agentic Keyframe Search for Video Question Answering
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
BIMBA: Selective-Scan Compression for Long-Range Video Question Answering
ENTER: Event Based Interpretable Reasoning for VideoQA
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
VidCtx: Context-aware Video Question Answering with Image Models
LinVT: Empower Your Image-level Large Language Model to Understand Videos
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
GPT-4o System Card
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Video Instruction Tuning With Synthetic Data
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Question-Answering Dense Video Events
LLaVA-OneVision: Easy Visual Task Transfer
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
https://arxiv.org/abs/2407.00634
Long Context Transfer from Language to Vision
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding
Long Story Short: Story-level Video Understanding from 20K Short Films
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
Streaming Long Video Understanding with Large Language Models
CinePile: A Long Video Question Answering Dataset and Benchmark
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
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