SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

Showing 101150 of 1149 papers

TitleStatusHype
VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AICode2
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMsCode2
TRACE: Temporal Grounding Video LLM via Causal Event ModelingCode2
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language ModelsCode2
E.T. Bench: Towards Open-Ended Event-Level Video-Language UnderstandingCode2
Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long VideosCode2
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingCode2
Video-STaR: Self-Training Enables Video Instruction Tuning with Any SupervisionCode2
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-ConquerCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
LVBench: An Extreme Long Video Understanding BenchmarkCode2
Vript: A Video Is Worth Thousands of WordsCode2
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long VideosCode2
Dense Connector for MLLMsCode2
Vision Mamba: A Comprehensive Survey and TaxonomyCode2
Foundation Models for Video Understanding: A SurveyCode2
Leveraging Temporal Contextualization for Video Action RecognitionCode2
LongVLM: Efficient Long Video Understanding via Large Language ModelsCode2
ST-LLM: Large Language Models Are Effective Temporal LearnersCode2
OmniVid: A Generative Framework for Universal Video UnderstandingCode2
Understanding Long Videos with Multimodal Language ModelsCode2
VideoAgent: Long-form Video Understanding with Large Language Model as AgentCode2
Beyond MOT: Semantic Multi-Object TrackingCode2
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learningCode2
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person PerspectivesCode2
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
PG-Video-LLaVA: Pixel Grounding Large Video-Language ModelsCode2
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video UnderstandingCode2
A Content-Driven Micro-Video Recommendation Dataset at ScaleCode2
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and BenchmarksCode2
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
Temporal Action Segmentation: An Analysis of Modern TechniquesCode2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
ActionFormer: Localizing Moments of Actions with TransformersCode2
PyTorchVideo: A Deep Learning Library for Video UnderstandingCode2
Attention Mechanisms in Computer Vision: A SurveyCode2
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge DeviceCode2
Video Swin TransformerCode2
Is Space-Time Attention All You Need for Video Understanding?Code2
Video Instance SegmentationCode2
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New BenchmarksCode1
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video UnderstandingCode1
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