3D Object Representations for Fine-Grained Categorization
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...In many fine-grained tasks such as the Stanford Cars dataset [73], randomly erasing sections of the image (logo, etc....
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3,707 citations
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..., [14, 18]) have revitalized data-driven algorithms for recognition, detection, and editing of images, which have revolutionized computer vision....
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...We perform transfer via linear classification and fine-tuning on the same set of datasets as in [8], namely Food-101 dataset [89], CIFAR-10 [78] and CIFAR-100 [78], Birdsnap [90], the SUN397 scene dataset [79], Stanford Cars [91], FGVC Aircraft [92], the PASCAL VOC 2007 classification task [80], the Describable Textures Dataset (DTD) [81], Oxford-IIIT Pets [93], Caltech-101 [94], and Oxford 102 Flowers [95]....
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...Method Food101 CIFAR10 CIFAR100 Birdsnap SUN397 Cars Aircraft VOC2007 DTD Pets Caltech-101 Flowers Linear evaluation: BYOL (ours) 75.3 91.3 78.4 57.2 62.2 67.8 60.6 82.5 75.5 90.4 94.2 96.1 SimCLR (repro) 72.8 90.5 74.4 42.4 60.6 49.3 49.8 81.4 75.7 84.6 89.3 92.6 SimCLR [8] 68.4 90.6 71.6 37.4 58.8 50.3 50.3 80.5 74.5 83.6 90.3 91.2 Supervised-IN [8] 72.3 93.6 78.3 53.7 61.9 66.7 61.0 82.8 74.9 91.5 94.5 94.7 Fine-tuned:...
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...[91] Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei....
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...examples Test examples Accuracy measure Test provided ImageNet [21] 1000 1281167 1271158 10009 50000 Top-1 accuracy Food101 [89] 101 75750 68175 7575 25250 Top-1 accuracy CIFAR-10 [78] 10 50000 45000 5000 10000 Top-1 accuracy CIFAR-100 [78] 100 50000 44933 5067 10000 Top-1 accuracy Birdsnap [90] 500 47386 42405 4981 2443 Top-1 accuracy Sun397 (split 1) [79] 397 19850 15880 3970 19850 Top-1 accuracy Cars [91] 196 8144 6494 1650 8041 Top-1 accuracy Aircraft [92] 100 3334 3334 3333 3333 Mean per-class accuracy Yes PASCAL-VOC2007 [80] 20 5011 2501 2510 4952 11-point mAP / AP50 PASCAL-VOC2012 [80] 21 10582 − 2119 1449 Mean IoU DTD (split 1) [81] 47 1880 1880 1880 1880 Top-1 accuracy Yes Pets [93] 37 3680 2940 740 3669 Mean per-class accuracy Caltech-101 [94] 101 3060 2550 510 6084 Mean per-class accuracy Places365 [73] 365 1803460 1803460 − 36500 Top-1 accuracy Flowers [95] 102 1020 1020 1020 6149 Mean per-class accuracy Yes...
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References
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