Table of results for Caltech 101

This is a table documenting some of the best results some paper obtained in Caltech-101 dataset.

Results shown here are all trained using 30 samples from each category.

1. Image Classification using Random Forests and Ferns (2007)
   Cited 51 times. 81.3%
   Additional Info: Bosch Multi-way SVM
   
2. In Defense of Nearest-Neighbor Based Image Classification (2008)
   Cited 22 times. 79.23%
   Additional Info: NBNN (5 descriptors)
3. Visual Geometric Group (VGG)'s implementation of Multiple Kernel Image Classifier trained on dense SIFT, self-similarity, and geometric blur features
   78.59% (Without taking into account the BACKROUND_GOOGLE class)
   
4. Representing shape with a spatial pyramid kernel (2007)
   Cited 70 times. 77.8%
   Additional Info: Result of 77.8% is obtained by combining all 4 cues (shape 180, shape 360, gray appearance and color appearance.
5. Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification (2009)
   Cited 1 time. 73.2%
   Additional Info: Sparse coding, max pooling, linear SVM
6. High Dimensional Nonlinear Learning using Local Coordinate Coding (2009)
   73.14%
   Additional Info: Local coordinate coding, max pooling, linear SVM
   
7. Recognition using Regions (2009)
   73.1%
   
8. Learning Coupled Conditional Random Field for Image Decomposition with Application on Object Categorization (2008)
   70.38%
9. Fast Image Search for Learned Metrics (2008)
   Cited 14 times. 69.6%
   Additional info: ML+CORR
   
10. Caltech-256 Object Category Dataset (2007)
    Cited by 99. 67.6%
    Additional Info: Griffin's SPM
    
11. SVM-KNN - Discriminative Nearest Neighbor Classification for Visual Category Recognition (2006)
    Cited 164 times. 66.23%
12. Image Retrieval and Classification using Local Distance Functions (2006)
    Cited 42 times. 66%
13. Bag-of-Features Kernel Eigen Spaces for Classification (2008)
    65.5%
14. Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations (2009)
    Cited 4 times. 65.4%
15. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories (2006)
    Cited 418 times. 64.6%
16. Kernel Codebooks for Scene Categorization (2008)
    Cited 11 times. 64.12%
17. Visual Word Ambiguity (2010)
    64.1%
    
18. Using dependent regions for object categorization in a generative framework (2006)
    Cited 54 times. 63%
19. SIFTing the Relevant from the Irrelevant - Automatically Detecting Objects in Training Images (2009)
    61.45%
    
20. Pyramid Match Kernels: Discriminative Classification with Sets of Image Features (2006)
    Cited 276 times. 58.2%
21. Max-Margin Additive Classifiers for Detection (2009)
    56.49%
    
22. Multiclass Object Recognition with Sparse, Localized Features (2006)
    Cited 143 times. 56%
23. Efficiently Matching Sets of Features with Random Histograms (2008)
    Cited 2 times. 54.1%
    
24. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition (2007)
    Cited 39 times. 54%
25. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2008)
    Cited 7 times. 53%
    
26. Exploiting Unlabelled Data for Hybrid Object Classification (2005)
    Cited 10 times. 43%
    
27. Object Recognition with Features Inspired by Visual Cortex (2006)
    Cited 191 times. 42%
28. Exploiting Unlabelled Data for Hybrid Object Classification (2005)
    Cited 10 times. 17%