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- W1509181723 abstract "Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly even between the most successful approaches. Methods using a global feature descriptor (e.g. ) paired with discriminative classifiers such as SVMs enable high levels of performance, but require large amounts of training data and typically degrade in the presence of partial occlusions. Local feature-based approaches (e.g. ) are more robust in the presence of partial occlusions but often produce a significant number of false positives. This paper proposes a novel approach called hierarchical support vector random field that allows 1) to combine the power of global feature-based approaches with the flexibility of local feature-based methods in one consistent multi-layer framework and 2) to automatically learn the tradeoff and the optimal interplay between local, semi-local and global feature contributions. Experiments show that both the combination of local and global features as well as the joint training result in improved detection performance on challenging datasets." @default.
- W1509181723 created "2016-06-24" @default.
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- W1509181723 date "2008-01-01" @default.
- W1509181723 modified "2023-09-30" @default.
- W1509181723 title "Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features" @default.
- W1509181723 cites W1490012878 @default.
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- W1509181723 doi "https://doi.org/10.1007/978-3-540-88688-4_39" @default.
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