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 111–120 of 1149 papers

TitleStatusHype
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge DeviceCode2
Understanding Long Videos with Multimodal Language ModelsCode2
OmniVid: A Generative Framework for Universal Video UnderstandingCode2
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?Code2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
Beyond MOT: Semantic Multi-Object TrackingCode2
Reinforcement Learning Tuning for VideoLLMs: Reward Design and Data EfficiencyCode2
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
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