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 1061–1070 of 1149 papers

TitleStatusHype
Long-Term Feature Banks for Detailed Video UnderstandingCode0
A Structured Model For Action Detection—0
An Attempt towards Interpretable Audio-Visual Video Captioning—0
The Visual Centrifuge: Model-Free Layered Video RepresentationsCode0
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos—0
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction—0
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection—0
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video ClassificationCode0
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