Apr 2, 2021 · We propose a new framework for understanding and representing related salient events in a video using visual semantic role labeling.
Compared to images, vi- sual semantic role labeling in videos requires not just recog- nizing actions and arguments at a single time step but aggre- gating ...
Visual Semantic Role Labeling for Video Understanding (CVPR21) · Instructions to install, download and process VidSitu Dataset. · Code to run all experiments ...
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We provide a comprehensive analysis of the dataset in comparison to other publicly available video understanding benchmarks, several illustrative baselines and ...
Sep 11, 2024 · We propose a new framework for understanding and representing related salient events in a video using visual semantic role labeling.
May 17, 2015 · In this paper we introduce the problem of Visual Semantic Role Labeling: given an image we want to detect people doing actions and localize the objects of ...
The problem of Visual Semantic Role Labeling is introduced: given an image the authors want to detect people doing actions and localize the objects of ...
We adopt VidSitu [27] , a video situation recognition dataset that consists of dense annotations with semantic role labels (SRLs). Sourced from movie clips, ...
Each Video in VidSitu is annotated with rich structured representations of events that includes verbs, semantic role labels, entitycoreferences, and event ...
VidSitu is a dataset for the task of semantic role labeling in videos (VidSRL). It is a large-scale video understanding data source with 29K 10-second movie ...