Results shown here are all trained using 30 samples from each category.
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition (ARXIV 2014)
Cited 0 times. 91.44% ± 0.7% - Visualizing and Understanding Convolutional Networks (ARXIV 2013)
Cited 14 times. 86.5% ± 0.5%
Additional info: Pre-trained with ImageNet - Group-Sensitive Multiple Kernel Learning for Object Categorization (ICCV 2009)
Cited 75 times. 84.3%
Additional Info: GS-MKL - Reference-Based Scheme Combined With K-SVD for Scene Image Categorization (2013)
Cited 2 times. 83% - Multipath Sparse Coding Using Hierarchical Matching Pursuit (CVPR 2013)
Cited 2 times. 82.5% ± 0.5%
Additional Info: Multipath Hierarchical Matching Pursuit
Link to paper‘s project page - LP-Beta + Geometric blur + PHOW gray/color + Self-Similarity
82.1% ± 0.3% - Learning Subcategory Relevances for Category Recognition (CVPR 2008)
Cited 40 times. 81.9% - Object Recognition as Ranking Holistic Figure-Ground Hypotheses (CVPR 2010)
Cited 68 times. 81.9%
Additional Info: Regression with Post-Processing. - Image Classification using Random Forests and Ferns (ICCV 2007)
Cited 378 times. 81.3%
Additional Info: Bosch Multi-way SVM - Spatially Local Coding for Object Recognition (ACCV 2010)
Cited 0 time. 81% ± 0.2%
Additional Info: Multi-scale SIFT features extracted every 4 pixels.
Link to paper‘s project page
Link to paper‘s source code
Link to paper‘s poster - Local Pyramidal Descriptors for Image Recognition (PAMI 2013)
Cited 1 time. 80.13%
Additional Info: P-SIFT + Fisher encoding + SPM + Linear SVM
Link to paper‘s project page (Contains source code, demo available) - Sparse Spatial Coding: A Novel Approach for Efficient and Accurate Object Recognition (ICRA 2012)
Cited 7 times. 80.02% ± 0.36%
Additional Info: dictionary size is 4096. - Distance-based Mixture Modeling for Classification via Hypothetical Local Mapping (2013)
Cited 0 times. 80% ± 0.75% - In Defense of Nearest-Neighbor Based Image Classi?cation (CVPR 2008)
Cited 442 times. 79.23%
Additional Info: NBNN (5 descriptors) - Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations (2012)
Cited 0 times. 79.11 ± 0.87%
Additional info: dictionary size = 4096 - Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines (ECCV 2012)
Cited 4 times. 78.9% ± 1.1%
Additional info: 1024 codewords trained on macrofeatures with supervised fine-tuning.
Link to paper‘s poster - Robust Classi?cation of Objects, Faces, and Flowers Using Natural Image Statistics (CVPR 2010)
Cited 49 times. 78.5% ± 0.5%
Link to paper‘s supplemental material
Link to paper‘s project page
Link to paper‘s source code (MATLAB) - Visual Geometric Group (VGG)‘s implementation of Multiple Kernel Image Classifier trained on dense SIFT, self-similarity, and geometric blur features
78.20% ± 0.4%
Additional Info: Result of 77.8% is obtained by combining dense SIFT, self-similarity, and geometric blur features with the multiple kernel learning - Efficient Learning of Sparse, Distributed, Convolutional Feature Representations for Object Recognition (ICCV 2011)
Cited 19 times. 77.8%
Additional info: CRBM K=4096 - On Feature Combination for Multiclass Object Detection (ICCV 2009)
Cited 312 times. 77.8% ± 0.4%
Additional info: LP-β
Link to paper‘s project page (Contains results, source code and pre-computed features) - Representing shape with a spatial pyramid kernel (CIVR 2007)Cited 547 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.
- The devil is in the details - an evaluation of recent feature encoding methods (BMVC 2011)
Cited 91 times. 77.78% ± 0.56%
Additional info: Fisher (FK)
Link to paper‘s project page (Contains dataset and source code) - Object Recognition with Hierarchical Kernel Descriptors (CVPR 2011)
Cited 29 times. 77.5%
Link to paper‘s project page (Contains dataset, demos and source code) - Ask the locals: multi-way local pooling for image recognition (ICCV 2011)
Cited 44 times. 77.3% ± 0.6%
Link to paper‘s supplemental material - A Binary Classification Framework for Two-Stage Multiple Kernel Learning (ICML 2012)
Cited 5 times. 77.2% - Kernel Descriptors for Visual Recognition (NIPS 2010)
Cited 48 times. 76.4% ± 0.7%
Additional info: KDES-A(M) - Local Naive Bayes Nearest Neighbor for Image Classi?cation (CVPR 2012)
Cited 17 times. 76% ± 0.9%
Link to paper‘s associated technical report
Link to paper‘s source code
Link to paper‘s project page - Fast approximations to structured sparse coding and applications to object classification (2012)
Cited 2 times. 75.7% ± 1% - Learning mid-level features for recognition (CVPR 2010)
Cited 221 times. 75.7% ± 1.1%
Additional Info: Sparse Codes, Intersection Kernel. - Object and Action Classification with Latent Window Parameters (IJCV 2013)
Cited 0 times. 75.31% ± 0.68% - Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features (2012)
Cited 27 times. 75.3% ± 0.7% - Image classi?cation with multiple feature (2011)
Cited 3 times. 75% ± 0.8% - In Defense of Soft-assignment Coding (ICCV 2011)
Cited 46 times. 74.2% ± 0.8%
Link to author‘s web site
Link to paper‘s source code - Locality-constrained Linear Coding for Image Classification (CVPR 2010)
Cited 446 times. 73.44%
Project web site: Link to Project web site
Source code: Link to MATLAB code (rar) - Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification (CVPR 2009)
Cited 621 times. 73.2% ± 0.54%
Additional Info: Sparse coding, max pooling, linear SVM
Project web site: Link to Project web site
Source code: Link to MATLAB code (rar) - High Dimensional Nonlinear Learning using Local Coordinate Coding (Technical Report 2009)
Cited 3 times. 73.14%
Additional Info: Local coordinate coding, max pooling, linear SVM - Recognition using Regions (CVPR 2009)
Cited 156 times. 73.1% - The importance of Encoding Versus Training with Sparse Coding and Vector Quantization (ICML 2011)
Cited 101 times. 72.6% - Learning Coupled Conditional Random Field for Image Decomposition with Application on Object Categorization (CVPR 2008)
Cited 10 times. 70.38% - Fast Image Search for Learned Metrics (CVPR 2008)
Cited 126 times. 69.6%
Additional info: ML+CORR - A Multi-Scale Learning Framework for Visual Categorization (ACCV 2010)
Cited 2 times. 68.5%
Additional info: sparse coding (K = 900) - Caltech-256 Object Category Dataset (2007)
Cited 544 times. 67.6%
Additional Info: Griffin‘s SPM - Improved Spatial Pyramid Matching for Image Classification (ACCV 2010)
Cited 3 times. 67.36% ± 0.17% - Variable Sparsity Kernel Learning (JMLR 2011)
Cited 23 times. 67.07% - Deep Learning of Invariant Features via Simulated Fixations in Video (2012)
Cited 2 times. 66%
Additional info: Trained also with video (unrelated to Caltech-101) obtained 74.6% - Similarity-based cross-layered hierarchical representations for object categorization (CVPR 2008)
Cited 47 times. 66.5%
Additional Info: Shapinals - SVM-KNN - Discriminative Nearest Neighbor Classification for Visual Category Recognition(CVPR 2006)
Cited 568 times. 66.2% ± 0.5% - The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning (ICML 2011)
Cited 7 times. 65.8% ± 0.6% - Combined Descriptors in Spatial Pyramid Domain for Image Classification (2012)
Cited 0 times. 65.5% ± 0.49% - Bag-of-Features Kernel Eigen Spaces for Classi?cation (ICPR 2008)
Cited 2 times. 65.5% ± 0.7% - Image Retrieval and Classification using Local Distance Functions (NIPS 2006)
Cited 136 times. 65.2% - Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations (ICML 2009)
Cited 315 times. 65.4% ± 0.5%
Additional Info: CDBN (?rst+second layers) - Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories(CVPR 2006)
Cited 2582 times. 64.6% ± 0.8%
Additional Info: L=2, M=200, Pyramid
Source code: Link to MATLAB code (zip)
Slides: Link - Kernel Codebooks for Scene Categorization (ECCV 2008)
Cited 224 times. 64.12% - Visual Word Ambiguity (PAMI 2010)
Cited 257 times. 64.1% - Using dependent regions for object categorization in a generative framework (CVPR 2006)
Cited 121 times. 63% - SIFTing the Relevant from the Irrelevant - Automatically Detecting Objects in Training Images(2009)
Cited 0 times. 61.45% - Pyramid Match Kernels: Discriminative Classification with Sets of Image Features (ICCV 2005)
Cited 849 times. 58.2% - Ef?cient Classi?cation for Additive Kernel SVMs (PAMI 2012)
Cited 11 times. 56.59% ± 0.77% - Max-Margin Additive Classi?ers for Detection (ICCV 2009)
Cited 79 times. 56.49% - Multiclass Object Recognition with Sparse, Localized Features (CVPR 2006)
Cited 345 times. 56% - Efficiently Matching Sets of Features with Random Histograms (2008)
Cited 46 times. 54.1% - Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition(2007)
Cited 235 times. 54% - Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition (2008)
Cited 64 times. 53% - Classification using Intersection Kernel Support Vector Machines is Efficient (2008)
Cited 396 times. 52%
Project web site: Link
Source code: Link to MATLAB/C code (tar.gz) - Object Recognition with Features Inspired by Visual Cortex (2006)
Cited 536 times. 42%