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 161–170 of 1149 papers

TitleStatusHype
Actor-Context-Actor Relation Network for Spatio-Temporal Action LocalizationCode1
A Multigrid Method for Efficiently Training Video ModelsCode1
Localizing Moments in Long Video Via Multimodal GuidanceCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
Long Movie Clip Classification with State-Space Video ModelsCode1
A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action DetectorCode1
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
Learning Temporally Latent Causal Processes from General Temporal DataCode1
Learning the Predictability of the FutureCode1
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