LAION-AI / LAION-AI/temporal-embedding-aggregation

CLS token -> avg pooling (as suggested in VideoCLIP paper)

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research
Dominant language
Python
Stars
32
Forks
4
PR merge metrics
No merged PRs in 30d

Description

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.

Research direction

Read the linked VideoCLIP paper and inspect the repository to find where temporal embeddings are aggregated and the current CLS-token pooling is implemented. Confirm the expected average-pooling behavior from the paper, then verify that the aggregation output and relevant checks match that behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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