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 941–950 of 1149 papers

TitleStatusHype
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation—0
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation FrameworkCode0
TubeR: Tubelet Transformer for Video Action DetectionCode1
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers—0
Visual Semantic Role Labeling for Video UnderstandingCode1
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation—0
Unified Graph Structured Models for Video Understanding—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
Temporal Context Aggregation Network for Temporal Action Proposal RefinementCode1
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