CS 766 Assignment 3: Locality-constrained Linear Coding for Scene Classification

 Saikat R. Gomes (saikat@cs.wisc.edu) & Stephen Lazzaro (slazzaro@cs.wisc.edu)

Contents

  1. Introduction
  2. Hard Code Word
    1. Results
  3. Locality-constrained Linear
    1. Results
  4. Grid Search
  5. Sequential Hierarchy Classifier
    1. Manually assigned clusters
      1. Results
    2. Clusters from K-means
      1. Results
  6. Other Dataset Evaluation
    1. Birds
    2. Butterflies
  7. Other Experiments
    1. Results
  8. Scene Datasets
  9. Code
  10. Git Logs
  11. References

Other Datasets

We experimented with 2 other datasets for recognizing birds and butterflies that we retrieved from the Ponce Research Group . One of these datasets consisted of 6 different types of birds, and the other dataset consisted of 7 different types of butterflies. We originally believed that we would retrieve extremely bad accuracies for these datasets as differences between different birds and butterflies would be much more subtle than differences in scenes. However, our results ended up being much better than expected giving accuracies up to 65% for each of those.

(Source: Ponce Research Group )
(Source: Ponce Research Group )