Abstract—Natural Language Video Localization (NLVL) aims to locate a target moment from an untrimmed video that semantically corresponds to a text query. Existing approaches mainly solve the NLVL problem from the perspective of computer vision by formulating it as ranking, anchor, or regression tasks.
Feb 26, 2021 · In this work, we address the NLVL from a new perspective, i.e., span-based question answering (QA), by treating the input video as a text ...
In this work, we address the NLVL from a new perspective, i.e., span-based question answering (QA), by treating the input video as a text passage. We propose a ...
In this work, we address the NLVL from a new perspective, \ie span-based question answering (QA), by treating the input video as a text passage. We propose a ...
This is implementation for the paper "Span-based Localizing Network for Natural Language Video Localization" (ACL 2020, long paper): ACL version, ArXiv version.
Feb 23, 2021 · In this work, we address the NLVL from a new perspective, \ie span-based question answering (QA), by treating the input video as a text passage.
Duration: 0:31
Posted: Dec 23, 2022
Posted: Dec 23, 2022
This work proposes a video span localizing network (VSLNet), on top of the standard span-based QA framework, to address NLVL, and tackles the differences ...
In this work, we address NLVL task with a span-based QA approach by treating the input video as text passage. We propose a video span localizing network (VSLNet) ...
Missing: Revisit Question Answering
May 20, 2023 · Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey ...