rentainhe / TRAR-VQA

[ICCV 2021] Official implementation of the paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"

Date Created 2021-07-23 (2 years ago)

Commits 61 (last one 2 years ago)

Stargazers 61 (0 this week)

Watchers 3 (0 this week)

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RepositoryStats indexes 534,551 repositories, of these rentainhe/TRAR-VQA is ranked #378,533 (29th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #69,998/103,470.

rentainhe/TRAR-VQA is also tagged with popular topics, for these it's ranked: pytorch (#4,257/5588), visualization (#1,197/1472), transformer (#678/916)

Other Information

rentainhe/TRAR-VQA has Github issues enabled, there are 2 open issues and 2 closed issues.

There have been 1 release, the latest one was published on 2021-10-10 (2 years ago) with the name New Release.

All Topics

clevr vqav2 pytorch iccv2021 official attention multi-modal transformer visualization multi-modality dynamic-network local-and-global vision-and-language multi-modal-learning multi-scale-features visual-question-answering

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updated: 2024-05-30 @ 07:27am, id: 388655896 / R_kgDOFyprGA