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 731–740 of 1149 papers

TitleStatusHype
Generative Frame Sampler for Long Video Understanding—0
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning—0
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning—0
Global Motion Understanding in Large-Scale Video Object Segmentation—0
Global Self-Attention Networks—0
Global Self-Attention Networks for Image Recognition—0
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
Gradient Frequency Modulation for Visually Explaining Video Understanding Models—0
GraphVid: It Only Takes a Few Nodes to Understand a Video—0
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