To our best knowledge, it is the first time to introduce multi-modality transfer into the field of domain adaptive video concept detection and annotation.
Oct 15, 2012 · To our best knowledge, it is the first time to introduce multi-modality transfer into the field of domain adaptive video concept detection and ...
Dec 21, 2023 · Abstract:Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given ...
Missing: concept | Show results with:concept
Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given language query.
Missing: structure | Show results with:structure
This paper introduces multi-modality transfer into domain adaptive video concept detection and annotation and proposes an efficient incremental extension ...
To this end, we propose a unified framework for video domain adaptation, which simultaneously regularizes cross-modal and cross-domain feature representations.
Missing: concept annotation.
Nov 9, 2023 · In this paper, we focus on a novel task: cross-domain VMR, where fully-annotated datasets are available in one domain (“source domain”), but the ...
Exploring multi-modality structure for cross domain adaptation in video concept annotation. Domain adaptive video concept detection and annotation has ...
To our best knowledge, it is the first time to introduce multi-modality transfer into domain adaptive video concept detection and annotation. Moreover, we ...
(2020; 2022) propose a framework that utilizes multi-modality data to address Unsupervised. Domain Adaptation (UDA) problem for 3D segmentation. They design a ...
Missing: concept annotation.