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 1021–1030 of 1149 papers

TitleStatusHype
Context R-CNN: Long Term Temporal Context for Per-Camera Object DetectionCode0
A Context-Aware Loss Function for Action Spotting in Soccer VideosCode0
BERT for Large-scale Video Segment Classification with Test-time Augmentation—0
A Multigrid Method for Efficiently Training Video ModelsCode1
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization—0
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain—0
Cross-Class Relevance Learning for Temporal Concept Localization—0
Multi-attention Networks for Temporal Localization of Video-level LabelsCode0
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingCode0
Comprehensive Video Understanding: Video summarization with content-based video recommender design—0
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