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REU Report Meeting Week 8

REU Report Meeting Week 8. Patrick Hynes. Outline – One Shot. This Week’s Results YouTube Dataset Next Steps. YouTube Dataset. 11 Categories, 100 Videos each. Video from Dataset. Method. Features consisting Bag of Word Histograms for each image Designate 5 classes for training

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REU Report Meeting Week 8

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  1. REU Report Meeting Week 8 Patrick Hynes

  2. Outline – One Shot • This Week’s Results • YouTube Dataset • Next Steps

  3. YouTube Dataset • 11 Categories, 100 Videos each

  4. Video from Dataset

  5. Method • Features consisting Bag of Word Histograms for each image • Designate 5 classes for training • Perform One Shot training for remaining classes

  6. 5 Train , 6 Test

  7. Try something different

  8. Shah’s Group Results Overall 71.5% Leave-One-Out Cross Validation

  9. Can we compare more directly Train and Test Using all Classes, but separate examples

  10. 72-25 SVDS 15 shot

  11. Cross Validation • Comparison Results look promising • Test and Train on All Classes • Train on 90 examples • Test on remaining 10 • 1 shot, 15 shot • Average 10 runs, using different 10 test examples for each run

  12. Cross Validation Results • Testing examples pulled in order • Testing examples pulled randomly

  13. Cross Validation Confusion Matrix

  14. Next Steps • Try different Cross Validation Schemes • Switch Dimension Reduction • PCA over weekend, will take two days • Change number of examples • Vary training classes • Return to Caltech Experiments • Adapt SVDS, Fast SVD see how these results compare to the PCA we were using • Can some of these results inform how we do pure one-shot?

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