OpenGVLab / OpenGVLab/Ask-Anything

The generation of the sub-task 【fine-grained action】 in MVBench

Open
#252 1 comment 0 reactions 1 assignee View on GitHub

@Andy1621 is already working on this.

Since Dec 25, 2024.

Dominant language
Python
Stars
3.4k
Forks
268
PR merge metrics
No merged PRs in 30d

Description

Hello authors,

In your paper, you mention that the candidates of the question in the sub-task【fine-grained action】 are generated using UMT-L. Could you please clarify whether you use a pre-trained UMT-L model to encode the videos and the 339 categories (the total number of categories in Moments in Time dataset), and then compute the text-visual similarity?

Thank you!

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.