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REU Report Meeting Week 4. Patrick Hynes. Topic. One shot recognition Extending to Action recognition. Animals with Attributes. Caltech 101 Experiments. Goal, compare results to Fei-fei,Fergus , Perona All 101 Categories Training set of 3,6,15 examples per class

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Presentation Transcript
topic
Topic
  • One shot recognition
    • Extending to Action recognition
caltech 101 experiments
Caltech 101 Experiments
  • Goal, compare results to Fei-fei,Fergus, Perona
  • All 101 Categories
  • Training set of 3,6,15 examples per class
  • Testing set of 50 examples per class
some results
Some Results
  • Working with Antonio to compare our results
  • His code is using the same examples repeatedly, mine is choosing examples from each category randomly
some results1
Some Results
  • Optimization Function
some results2
Some Results
  • Using PCA with 3 training examples
  • 3 training examples over 300 optimization iterations, 1 microset 8.21% mean accuracy
  • Using PCA over training and testing examples
  • 3 examples 1000 iter. 1microset 8.52% mean accuracy
  • 3 examples 600 iter. 10 microsets 9.28%
  • 6 examples 300 iter. 1 microset 10.37%
areas to test and improve
Areas to test and improve
  • Experimenting with
    • different PCA data
    • number of microsets
    • Proper number of iterations for optimization
    • Increased one-shot repetitions in checking accuracy
    • Averaging results from various data
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