Table of results for Caltech 256 dataset

This is a table documenting some of the best results some paper obtained in Caltech-256 dataset.


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

1. Visualizing and Understanding Convolutional Networks (ARXIV 2013)
   Cited 14 times. 70.6% ± 0.2%
2. Multipath Sparse Coding Using Hierarchical Matching Pursuit (CVPR 2013)
   Cited 7 times. 50.7%
   Additional info: Multipath Hierarchical Matching Pursuit
   Link to paper's project page
3. Learning Subcategory Relevances for Category Recognition (CVPR 2008)
   Cited 48 times. 49.5%
4. Spatially Local Coding for Object Recognition (ACCV 2010)
   Cited 1 time. 46.6% ± 0.2%
   Additional info: Multi-scale SIFT features extracted every 4 pixels.
   Link to paper's project page
   Link to paper's source code
5. On Feature Combination for Multiclass Object Detection (ICCV 2009)
   Cited 376 times. 45.8%
   Additional info: LP-β
   Link to paper's project page (Contains results, source code and pre-computed features)
6. Image Classification using Random Forests and Ferns (2007)
   Cited 412 times. 45.3%
7. Local Pyramidal Descriptors for Image Recognition (PAMI 2013)
   Cited 1 time. 44.86%
   Additional info: P-SIFT + Fisher encoding + SPM + Linear SVM
   Link to paper's project page (Contains source code and demo)
8. A Binary Classification Framework for Two-Stage Multiple Kernel Learning (2012)
   Cited 5 times. 44.8%
9. Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition (ICCV 2011)
   Cited 21 times. 42.05%
   Additional info: CRBM K=4096
10. In Defense of Nearest-Neighbor Based Image Classification (CVPR 2008)
    Cited 478 times. 42%
    Additional info: NBNN (5 descriptors)
11. Locality-constrained Linear Coding for Image Classification (CVPR 2010)
    Cited 547 times. 41.19%
12. Local Naive Bayes Nearest Neighbor for Image Classification (2011)
    Cited 20 times. 40.1%
13. Sparse Spatial Coding: A Novel Approach for Efficient and Accurate Object Recognition (ICRA 2012)
    Cited 9 times. 37.08% ± 0.36%
14. Caltech-256 object categoriy dataset (2007)
    Cited 596 times. 34.1%
15. Linear spatial pyramid matching using sparse coding for image classification (CVPR 2009)
    Cited 713 times. 34.02%
16. Kernel codebooks for scene categorization (ECCV 2008)
    Cited 242 times. 27.17%