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Recent years have witnessed the significant advance in fine-grained visual categorization, which targets to classify the objects belonging to the same species. To capture enough subtle visual differences and build discriminative visual description, most of the existing methods heavily rely on the artificial part annotations, which are expensive to collect in real applications. Motivated to conquer...
In this paper, we have proposed three methods to improve the performance of the bottleneck(BN) feature based GMM-HMM system. Firstly, we recommend a new bottleneck feature architecture, namely LBN, which places the bottleneck layer at the last hidden layer instead of the middle, in order to take advantage of the more discriminative and invariant higher layer features. Secondly, we employ the rectified...
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