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 801–810 of 1149 papers

TitleStatusHype
Egocentric and Exocentric Methods: A Short Survey—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition—0
Exploring Anchor-based Detection for Ego4D Natural Language Query—0
Exploring Missing Modality in Multimodal Egocentric Datasets—0
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022—0
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding—0
Extending Video Masked Autoencoders to 128 frames—0
Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding—0
Real-Time Segmentation Networks should be Latency Aware—0
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