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 1071–1080 of 1149 papers

TitleStatusHype
Random Temporal Skipping for Multirate Video Analysis—0
Morph: Flexible Acceleration for 3D CNN-based Video Understanding—0
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from ImagesCode0
Representation Flow for Action RecognitionCode0
Learnable Pooling Methods for Video ClassificationCode0
Non-local NetVLAD Encoding for Video Classification—0
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling—0
Label Denoising with Large Ensembles of Heterogeneous Neural Networks—0
Localizing Moments in Video with Temporal LanguageCode0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
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