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

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Showing 161–170 of 1149 papers

TitleStatusHype
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object UnderstandingCode0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
Temporal Action Detection Model Compression by Progressive Block Drop—0
PVChat: Personalized Video Chat with One-Shot Learning—0
Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language ModelsCode1
STOP: Integrated Spatial-Temporal Dynamic Prompting for Video UnderstandingCode1
Agentic Keyframe Search for Video Question AnsweringCode1
DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering—0
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations—0
What can Off-the-Shelves Large Multi-Modal Models do for Dynamic Scene Graph Generation?—0
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