microsoft / microsoft/XPretrain
Details of zero-shot performance on SSv2
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Description
Dear authors,
Great work!
I was wondering if you have the script to reproduce zero-shot numbers on SSv2 (Table 7).
Based on my experiments and also other papers [1, 2], I get 2.7% accuracy on the 174 classes in SSv2 with a frozen CLIP with mean pooling on per-frame features. Could you please elaborate on this discrepancy or what I may be missing?
[1] Videoprompter: an ensemble of foundational models for zero-shot video understanding. https://arxiv.org/pdf/2310.15324
[2] GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition? https://arxiv.org/pdf/2311.15732
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Research direction
Start with the SSv2 zero-shot setup underlying Table 7 and compare it with frozen CLIP mean pooling over per-frame features. Establish whether a reproduction script or configuration is available; done means a documented explanation of the 2.7% discrepancy or reproducible Table 7 numbers.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
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- 5/5
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- Over a week
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- Stale
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- Needs clarification
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