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 901–910 of 1149 papers

TitleStatusHype
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding—0
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding—0
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Open Vocabulary Multi-Label Video Classification—0
Open-Vocabulary Spatio-Temporal Action Detection—0
Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering—0
Overview of Tencent Multi-modal Ads Video Understanding Challenge—0
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering—0
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