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 471–480 of 1149 papers

TitleStatusHype
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation—0
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs—0
An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes—0
ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task—0
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding—0
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?—0
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization—0
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