Deformable Part-Based Model Transfer for Object Detection
نویسندگان
چکیده
منابع مشابه
Deformable Part-based Fully Convolutional Network for Object Detection
Existing region-based object detectors are limited to regions with fixed box geometry to represent objects, even if those are highly non-rectangular. In this paper we introduce DP-FCN, a deep model for object detection which explicitly adapts to shapes of objects with deformable parts. Without additional annotations, it learns to focus on discriminative elements and to align them, and simultane...
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Object Detection using shape is interesting since it is well known that humans can recognise an object simply from its shape. Thus, shape-based methods have great promise to handle a large amount of shape variation using a compact representation. In this paper, we present a new algorithm for object detection that uses a single reasonably good sketch as a reference to build a model for the objec...
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BACKGROUND Object detection in 3-D medical images is often necessary for constraining a segmentation or registration task. It may be a task in its own right as well, when instances of a structure, e.g. the lymph nodes, are searched. Problems from occlusion, illumination and projection do not arise, making the problem simpler than object detection in photographies. However, objects of interest a...
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The Deformable part-based model (DPM) is a remarkable algorithm in object detection. In this paper, it is combined with the global information to improve its performance. The gist feature of an image is extracted to capture its global information. After that, the principal component analysis (PCA) is used to reduce the dimensionality of the gist feature. The k nearest neighbor distance (k-NND) ...
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Future considerations would include ne tuning the latent SVM used to train the DPM, using stacked autoencoders to learn more complex feature representations, and optimize runtime of training algorithm to allow for larger training sets. Acknowledgements Special thanks to Professor Andrew Ng and Adam Coates for the advice they provided through the course of this project. Given its performance in ...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2014
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e97.d.1394