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 881–890 of 1149 papers

TitleStatusHype
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions—0
Visual Subtitle Feature Enhanced Video Outline Generation—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Motion Sensitive Contrastive Learning for Self-supervised Video Representation—0
Exploring Anchor-based Detection for Ego4D Natural Language Query—0
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning—0
Two-Stream Transformer Architecture for Long Video Understanding—0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation—0
EgoEnv: Human-centric environment representations from egocentric video—0
Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022—0
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