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» Dataset Issues in Object Recognition
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BMVC
2010
13 years 7 months ago
Insect Species Recognition using Sparse Representation
Insect species recognition is a typical application of image categorization and object recognition. Unlike generic image categorization datasets (such as the Caltech 101 dataset) ...
An Lu, Xin Hou, Chen Lin, Cheng-Lin Liu
IROS
2008
IEEE
103views Robotics» more  IROS 2008»
14 years 3 months ago
Repetitive grasping with anthropomorphic skin-covered hand enables robust haptic recognition
— Skin is an essential component of artificial hands. It enables the use of object affordance for recognition and control, but due to its intrinsic locality and low density of c...
Shinya Takamuku, Atsushi Fukuda, Koh Hosoda
WCE
2007
13 years 10 months ago
Reconstruction of 3D Solid Models Using Fuzzy Logic Recognition
—This paper presents an application of fuzzy logic theory to the reconstruction of solid models from engineering drawings. In engineering drawing, two-dimensional (2D) orthograph...
Zhe Wang, Mohammed Latif
ICCV
2011
IEEE
12 years 9 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
CVPR
2012
IEEE
11 years 11 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...