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 841–850 of 1149 papers

TitleStatusHype
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding—0
Recurring the Transformer for Video Action Recognition—0
Improving Video Model Transfer With Dynamic Representation Learning—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection—0
VRDFormer: End-to-End Video Visual Relation Detection With Transformers—0
Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationCode1
Exploiting Long-Term Dependencies for Generating Dynamic Scene GraphsCode0
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video RepresentationCode1
Discrete neural representations for explainable anomaly detection—0
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