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

Showing 301325 of 1149 papers

TitleStatusHype
Spotting Temporally Precise, Fine-Grained Events in VideoCode1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Is Appearance Free Action Recognition Possible?Code1
Federated Self-supervised Learning for Video UnderstandingCode1
ST-Adapter: Parameter-Efficient Image-to-Video Transfer LearningCode1
REVECA -- Rich Encoder-decoder framework for Video Event CAptionerCode1
Stand-Alone Inter-Frame Attention in Video ModelsCode1
A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action DetectorCode1
From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-AnsweringCode1
Free Lunch for Surgical Video Understanding by Distilling Self-SupervisionsCode1
ETAD: Training Action Detection End to End on a LaptopCode1
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
A Multi-Person Video Dataset Annotation Method of Spatio-Temporally ActionsCode1
Temporal Alignment Networks for Long-term VideoCode1
An Empirical Study of End-to-End Temporal Action DetectionCode1
Long Movie Clip Classification with State-Space Video ModelsCode1
SPAct: Self-supervised Privacy Preservation for Action RecognitionCode1
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?Code1
Domain Knowledge-Informed Self-Supervised Representations for Workout Form AssessmentCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
A Dataset for Medical Instructional Video Classification and Question AnsweringCode1
Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationCode1
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video RepresentationCode1
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary DetectionCode1
Prompting Visual-Language Models for Efficient Video UnderstandingCode1
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