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Roles of local and global information in image classification Devi Parikh
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Jumbled Images 3
Human Study: Intact Images
Human Study: Jumbled Images
Human Recognition of Jumbled Images Accuracy 6
How do we recognize them? Majority Vote of Local Independent Decisions? MRF Inference? … Are existing machine implementations of this model good enough? 7
Human Studies: Individual Blocks 8
Human Recognition of Individual Blocks Accuracy 9
Machine Experiments Assign blocks to codewords Accumulate p(scene|codewords) Pick class with highest votes
Majority Vote Results Proportion of matched responses 11
Classification of Jumbled Images Accuracy Need advanced modeling of global information 12
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Discriminative and generative methods for bags of features Zebra Non-zebra Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba.
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