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Similarity Comparisons for Interactive Fine-Grained Categorization
Computer Vision and Pattern Recognition, no. 1 (2014): 859-866
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Current human-in-the-loop fine-grained visual categorization systems depend on a predefined vocabulary of attributes and parts, usually determined by experts. In this work, we move away from that expert-driven and attribute-centric paradigm and present a novel interactive classification system that incorporates computer vision and percept...More
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