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Classification Results: VOC2010 BETA
Competition "comp2" (train on own data)
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Average Precision (AP %)
| mean | aero plane  | bicycle | bird | boat | bottle | bus | car | cat | chair | cow | dining table | dog | horse | motor bike | person | potted plant | sheep | sofa | train | tv/ monitor | submission date | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Improved Fisher Vector [?] | 68.3 | 92.7 | 68.4 | 68.5 | 80.4 | 38.2 | 81.8 | 66.9 | 77.8 | 55.0 | 62.1 | 56.5 | 70.1 | 71.4 | 79.4 | 85.0 | 40.0 | 67.2 | 51.8 | 84.6 | 67.6 | 16-Aug-2010 | |
| LinearSVM-PHOW [?] | 26.9 | 59.7 | 28.8 | 17.4 | 29.7 | 12.5 | 25.3 | 28.3 | 32.2 | 34.3 | 15.7 | 24.5 | 26.3 | 31.2 | 21.5 | 43.8 | 7.4 | 15.6 | 18.2 | 37.9 | 27.4 | 30-Aug-2010 | |
| UCI_LSVM-MDPM-10X [?] | - | - | 65.1 | - | - | - | 78.1 | - | - | - | 43.8 | 17.0 | - | 64.0 | 60.4 | - | - | 53.1 | 25.0 | - | 58.8 | 30-Aug-2010 | |
| Improved Fisher Vector [?] | - | 92.7 | 68.0 | 69.0 | 79.9 | 29.3 | 81.4 | 60.0 | 78.0 | 45.0 | 62.9 | 31.6 | 69.2 | 71.2 | 78.6 | 78.0 | 34.0 | 67.3 | - | 82.7 | - | 10-Aug-2010 |
Abbreviations
| Title | Method | Affiliation | Contributors | Description | Date |
|---|---|---|---|---|---|
| Linear SVM on Improved Fisher vector | Improved Fisher Vector | XRCE | Florent Perronnin Jorge Sanchez Thomas Mensink | Based on [PSM10]: F. Perronnin, J. Sanchez and T. Mensink, "Improving the Fisher kernel for Large-Scale Image Classification", ECCV, 2010. Trained on close to 1M mono-tagged Flickr group images (non-overlapping with test set). | 2010-08-10 07:54:09 |
| Linear SVM on Improved Fisher vector | Improved Fisher Vector | XRCE | Florent Perronnin, Jorge Sanchez, Thomas Mensink | Based on [PSM10]: F. Perronnin, J. Sanchez and T. Mensink, "Improving the Fisher kernel for Large-Scale Image Classification", ECCV, 2010. Late fusion of two systems trained respectively on i)voc10 trainval and ii) close to 1M mono-tagged Flickr group images. Optimal weights are learned per-class through cross-validation. | 2010-08-16 09:14:56 |
| LinearSVM-PHOW | LinearSVM-PHOW | Beijing Institute of Technology | Chunliang Lv, Lu Tian, Yuan Zhou, Xiumin Shi | Linear SVM classifier using spatial pyramid matching kernel. | 2010-08-30 17:17:28 |
| 10x train set for LSVM, mixtures, deformable parts | UCI_LSVM-MDPM-10X | University of California, Irvine | Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless Fowlkes | We downloaded additional images from Flickr that match the distribution of the testing set. We used Amazon's Mechanical Turk to annotate these training sets that are 10 times larger the standard trainval set. We used our larger training set to train models with the detector from Felzenswalb et. all. | 2010-08-30 04:33:45 |