GroundNLQ @ Ego4D natural language queries challenge 2023
In this report, we present our champion solution for Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2023. Essentially, to accurately ground in a video, an effective egocentric feature extractor and a powerful grounding model are required. Motivated by this, we leverage a two-stage pre-traini...
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| Main Authors: | , , , , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8416 https://ink.library.smu.edu.sg/context/sis_research/article/9419/viewcontent/2306.15255.pdf |
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| Institution: | Singapore Management University |
| Language: | English |