most citedMulti-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.CV2015★ 11 cited

Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models

Tejaswi Nimmagadda, Anima Anandkumar

Deep learning has shown state-of-art classification performance on datasets such as ImageNet, which contain a single object in each image. However, multi-object classification is f…