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 931–940 of 1149 papers

TitleStatusHype
Recurring the Transformer for Video Action Recognition—0
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Discrete neural representations for explainable anomaly detection—0
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search—0
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation LearningCode0
Stacked Temporal Attention: Improving First-person Action Recognition by Emphasizing Discriminative Clips—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
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