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 911–920 of 1149 papers

TitleStatusHype
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems—0
MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization—0
PYSKL: a toolbox for skeleton-based video understanding—0
FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding TasksCode0
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow AnalysisCode0
Human Gaze Guided Attention for Surgical Activity Recognition—0
Multi-Scale Self-Contrastive Learning with Hard Negative Mining for Weakly-Supervised Query-based Video Grounding—0
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection—0
Concept Graph Neural Networks for Surgical Video Understanding—0
Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations—0
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