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 1101–1110 of 1149 papers

TitleStatusHype
Pooled Motion Features for First-Person VideosCode0
End-to-End Learning of Motion Representation for Video UnderstandingCode0
A Coding Framework and Benchmark towards Low-Bitrate Video UnderstandingCode0
Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and BenchmarkCode0
EgoVLM: Policy Optimization for Egocentric Video UnderstandingCode0
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow AnalysisCode0
ECO: Efficient Convolutional Network for Online Video UnderstandingCode0
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet ArchitectureCode0
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video ClassificationCode0
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