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 871–880 of 1149 papers

TitleStatusHype
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models—0
Motion-Guided Masking for Spatiotemporal Representation Learning—0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation—0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies—0
MovieNet: A Holistic Dataset for Movie Understanding—0
MoviePuzzle: Visual Narrative Reasoning through Multimodal Order Learning—0
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding—0
MRSN: Multi-Relation Support Network for Video Action Detection—0
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language—0
Multi-kernel learning of deep convolutional features for action recognition—0
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