From: DTCTH: a discriminative local pattern descriptor for image classification
Techniques | Accuracy |
---|---|
CNN-SVM, 2014 [92] | 58.4 |
Places-CNN, 2014 [71] | 68.24 |
ImageNet-CNN, 2014 [71] | 56.79 |
Hybride-CNN, 2014 [71] | 70.80 |
Dense SIFT (LSA + MMP) LSVM, | |
2011 [68] | 44.19 |
dense SIFT (LLC + MP) LSVM, | |
2010 [62] | 43.78 |
dense SIFT (LDC + LLC/LSA + MP) | |
LSVM, 2013 [64] | 46.69 |
Dense SIFT (SSC + MP) OCL, 2012 [63] | 44.35 |
Object Bank + LSVM, 2010 [55] | 37.60 |
Dense SIFT (BoF) SVM with HI, | |
2014 [93] | 45.86 |
DPM, 2011 [56] | 30.40 |
CENTRIST (BoF) PmSVM-HI, 2012 [79] | 47.15 |
CENTRIST (BoF) PmSVM- χ 2, 2012 [79] | 46.20 |
PRICoLBP + SVM with χ 2, 2014 [8] | 43.4 |
HOG, 2005 [56] | 22.8 |
SPM, 2006 [8], | 34.4 |
MM-scene, 2010 [94] | 28.00 |
mCENTRIST (SPM) LSVM, 2014 [6] | 44.6 ±1.2 |
mSIFT (SPM) LSVM, 2014 [6] | 39.7 ±1.6 |
mGIST (SPM) LSVM, 2014 [6] | 31.5 ±1.6 |
LGP (SPM) LSVM, 2013 | 34.24 ±1.12 |
OC-LBP (BoF) LSVM, 2013 | 36.99 ±2.34 |
LAID (SPM) LSVM, 2013 | 32.78 ±1.47 |
CLBP_S/M/C (SPM) LSVM, 2010 | 30.45 ±1.70 |
LTP (SPM) LSVM, 2010 | 35.87 ±1.23 |
GIST + LSVM, 2001 | 26.5 ±1.41 |
CENTRIST (SPM) LSVM, 2011 | 35.12 ±0.99 |
Proposed (DTCTH + LSVM) | 43.33 ±0.72 |
Proposed (DTCTH + HI) | 46.22 ±1.02 |