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Results 1 - 10
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159
Hierarchical Part Matching for Fine-Grained Visual Categorization
, 2013
"... As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing atten-tion these years. Different with traditional image classifi-cation tasks in which objects have large inter-class varia-tion, the visual concepts in the fine-grained datasets, such as hu ..."
Abstract
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Cited by 5 (1 self)
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As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing atten-tion these years. Different with traditional image classifi-cation tasks in which objects have large inter-class varia-tion, the visual concepts in the fine-grained datasets
Hierarchical Part Matching for Fine-Grained Image Classification
"... As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing attention these years. Different with traditional image classification tasks in which objects have large inter-class variation, the visual concepts in the fine-grained datasets, such as hundr ..."
Abstract
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As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing attention these years. Different with traditional image classification tasks in which objects have large inter-class variation, the visual concepts in the fine-grained datasets
A Fine-Grained Debugger for Aspect-Oriented Programming
"... To increase modularity, aspect-oriented programming pro-vides a mechanism based on implicit invocation: An aspect can influence runtime behavior of other modules without the need that these modules refer to the aspect. Recent stud-ies show that a significant part of reported bugs in aspect-oriented ..."
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dedicated in-termediate representation preserving the abstraction level of aspect-oriented source code. We define a debugging model which is aware of aspect-oriented concepts. Based on the model, we implement a user interface with functionalities supporting the identified tasks, like visualizing pointcut
Hierarchical part-based visual object categorization
- In Proc. CVPR
, 2005
"... We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linking parts to subparts, soft assignment of subparts to parts, and scale invariant keypoint based local features at the lowes ..."
Abstract
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Cited by 87 (3 self)
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We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linking parts to subparts, soft assignment of subparts to parts, and scale invariant keypoint based local features
Fused One-vs-All Mid-Level Features for Fine-Grained Visual Categorization
"... As an emerging research topic, fine-grained visual catego-rization has been attracting growing attentions in recent years. Due to the large inter-class similarity and intra-class variance, recognizing objects in fine-grained domains is ex-tremely challenging, and sometimes even humans can not recogn ..."
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As an emerging research topic, fine-grained visual catego-rization has been attracting growing attentions in recent years. Due to the large inter-class similarity and intra-class variance, recognizing objects in fine-grained domains is ex-tremely challenging, and sometimes even humans can
The Role of the Primary Visual Cortex in Higher Level Vision
, 1998
"... In the classical feed-forward, modular view of visual processing, the primary visual cortex (area V1) is a module that serves to extract local features such as edges and bars. Representation and recognition of objects are thought to be functions of higher extrastriate cortical areas. This paper pres ..."
Abstract
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Cited by 168 (11 self)
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presents neurophysiological data that show the later part of V1 neurons' responses reflecting higher order perceptual computations related to Ullman's (Cognition 1984;18:97 -- 159) visual routines and Marr's (Vision NJ: Freeman 1982) full primal sketch, 2 1 2 D sketch and 3D model. Based
Fine-Grained, Local Maps and Coarse, Global Representations Support Human Spatial Working Memory
, 2014
"... While sensory processes are tuned to particular features, such as an object’s specific location, color or orientation, visual working memory (vWM) is assumed to store information using representations, which generalize over a feature dimension. Additionally, current vWM models presume that different ..."
Abstract
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. Similarly, when the non-target items were translated at recall, relative to their position in the initial display, a parallel displacement of the recalled target was observed. These findings suggest that fine-grained spatial information in vWM is represented in local maps whose resolution varies
L.S.: Subordinate categorization using volumetric primitives and pose-normalized appearance
, 2011
"... Subordinate Classification Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, where the presence or absence of parts is determinative. We develop an approach for subordinate c ..."
Abstract
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Cited by 52 (7 self)
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categorization in vision, focusing on an avian domain due to the fine-grained structure of the category taxonomy for this domain. We explore a pose-normalized appearance model based on a volumetric poselet scheme. The variation in shape and appearance properties of these parts across a taxonomy provides the cues
Learning compositional categorization models
- In ECCV
, 2006
"... Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database 1 and form intermediate abstractions of images that are semantically situated between low-level representations and the highlevel categoriza ..."
Abstract
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Cited by 16 (5 self)
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categorization. Salient regions, which are described by localized feature histograms, are detected as image parts. Subsequently compositions are formed as bags of parts with a locality constraint. After performing a spatial binding of compositions by means of a shape model, coupled probabilistic kernel
Tracking known three-dimensional objects
- In Proceedings of AAAI-82
, 1982
"... A method of visually tracking a known three-dimensional object is described. Predicted object position and orientation extrapolated from previous tracking data are used to find known features in one or more pictures. The measured image positions of the features are used to adjust the estimates of ob ..."
Abstract
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Cited by 149 (1 self)
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A method of visually tracking a known three-dimensional object is described. Predicted object position and orientation extrapolated from previous tracking data are used to find known features in one or more pictures. The measured image positions of the features are used to adjust the estimates
Results 1 - 10
of
159
