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What is Discriminative Binary Codes for Images about?
This paper presents a new method for learning discriminative binary codes to represent images. The method balances discrimination, which makes categories more separable, with predictability from visual data. It learns codes on a per-image basis within categories, rather than fixing codes for entire categories. Experimental results show the learned codes outperform other methods for image retrieval and classification tasks on standard datasets like Caltech256 and ImageNet, producing state-of-the-art results
- Author
- Sal Ie Em
- Language
- EN