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 421–430 of 1149 papers

TitleStatusHype
An Analysis of Data Transformation Effects on Segment Anything 2—0
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling—0
Dilated Temporal Relational Adversarial Network for Generic Video Summarization—0
DrVideo: Document Retrieval Based Long Video Understanding—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
A Multimodal Sentiment Dataset for Video Recommendation—0
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives—0
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
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