Progressive Localization Networks for Language-Based Moment Localization

نویسندگان

چکیده

This article targets the task of language-based video moment localization. The setting this allows for an open set target activities, resulting in a large variation temporal lengths moments. Most existing methods prefer to first sample sufficient candidate moments with various lengths, then match them given query determine moment. However, generated fixed granularity may be suboptimal handle lengths. To end, we propose novel multi-stage Progressive Localization Network (PLN) that progressively localizes coarse-to-fine manner. Specifically, each stage PLN has localization branch and focuses on are specific granularity. granularities different across stages. Moreover, devise conditional feature manipulation module upsampling connection bridge multiple branches. In fashion, later stages able absorb previously learned information, thus facilitating more fine-grained Extensive experiments three public datasets demonstrate effectiveness our proposed localization, especially localizing short long videos.

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ژورنال

عنوان ژورنال: ACM Transactions on Multimedia Computing, Communications, and Applications

سال: 2023

ISSN: ['1551-6857', '1551-6865']

DOI: https://doi.org/10.1145/3543857