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 91–100 of 1149 papers

TitleStatusHype
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
ActionFormer: Localizing Moments of Actions with TransformersCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
PruneVid: Visual Token Pruning for Efficient Video Large Language ModelsCode2
PyTorchVideo: A Deep Learning Library for Video UnderstandingCode2
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
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