ImageNet: A large-scale hierarchical image database
Citations
6,984 citations
Cites background or methods from "ImageNet: A large-scale hierarchica..."
...2 Image Ranking ImageNet (Deng et al., 2009) consists of images organized according to the nouns in the WordNet hierarchy, where each noun is associated on average with more than 500 images collected from the web. We selected 15,000 important nouns from the hierarchy and conducted a large scale image ranking task for each noun. This approach is identical to the task tackled by Grangier and Bengio (2008) using the Passive-Aggressive algorithm....
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...2 Image Ranking ImageNet (Deng et al., 2009) consists of images organized according to the nouns in the WordNet hierarchy, where each noun is associated on average with more than 500 images collected from the web....
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...Experiments We performed experiments with several real world datasets with different characteristics: the ImageNet image database (Deng et al., 2009), the Reuters RCV1 text classification dataset (Lewis et al....
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6,953 citations
Cites background from "ImageNet: A large-scale hierarchica..."
...In applications of transfer learning to computer vision [Oquab et al., 2014; Jia et al., 2014; Huh et al., 2016; Yosinski et al., 2014], pre-training is typically done via supervised learning on a large labeled dataset like ImageNet [Russakovsky et al., 2015; Deng et al., 2009]....
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..., 2014], pre-training is typically done via supervised learning on a large labeled dataset like ImageNet [Russakovsky et al., 2015; Deng et al., 2009]....
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6,899 citations
Cites background from "ImageNet: A large-scale hierarchica..."
...ImageNet is an extremely challenging object recognition dataset consisting of thousands of highresolution images of thousands of classes of object [7]....
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6,759 citations
Cites methods from "ImageNet: A large-scale hierarchica..."
...We use Imagenet-1k (Deng et al., 2009) as a source of natural images for unsupervised training....
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...We trained DCGANs on three datasets, Large-scale Scene Understanding (LSUN) (Yu et al., 2015), Imagenet-1k and a newly assembled Faces dataset....
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...To evaluate the quality of the representations learned by DCGANs for supervised tasks, we train on Imagenet-1k and then use the discriminator’s convolutional features from all layers, maxpooling each layers representation to produce a 4 × 4 spatial grid....
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6,528 citations
References
46,906 citations
"ImageNet: A large-scale hierarchica..." refers methods in this paper
...SIFT [15] descriptors are used in this experiment....
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13,049 citations
"ImageNet: A large-scale hierarchica..." refers background or methods in this paper
...ImageNet uses the hierarchical structure of WordNet [9]....
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...The main asset of WordNet [9] lies in its semantic structure, i....
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5,742 citations
"ImageNet: A large-scale hierarchica..." refers methods in this paper
...Special purpose datasets, such as FERET faces [19], Labeled faces in the Wild [13] and the Mammal Benchmark by Fink and Ullman [11] are not included....
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4,302 citations
"ImageNet: A large-scale hierarchica..." refers background in this paper
...Rosch and Lloyd [ 20 ] have demonstrated that humans tend to label visual objects at an easily accessible semantic level termed as “basic level” (e.g....
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4,024 citations
Additional excerpts
...[16, 17, 28, 18])....
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