Video graph transformer for video question answering
This paper proposes a Video Graph Transformer (VGT) model for Video Quetion Answering (VideoQA). VGT’s uniqueness are two-fold: 1) it designs a dynamic graph transformer module which encodes video by explicitly capturing the visual objects, their relations, and dynamics for complex spatio-temporal r...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8994 https://ink.library.smu.edu.sg/context/sis_research/article/9997/viewcontent/2022_ECCV_VQA.pdf |
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| Institution: | Singapore Management University |
| Language: | English |