Results 41 to 50 of about 2,261,893 (220)
Modeling and Predicting Object Attention in Natural Scenes [PDF]
Humans automatically attend to certain objects in a scene. Better understanding this process could improve a computer's ability to parse scene images and convey information about them to humans. This thesis is arranged in three parts.
Spain, Merrielle Therese
core +1 more source
The design space of FPGA-based processor systems is huge, because many parameters can be modified at design- and runtime to achieve an efficient system solution in terms of performance, power and energy consumption.
Diana Göhringer +5 more
doaj +1 more source
Object orientation without extending Z
The good news of this paper is that without extending Z, we can elegantly specify object-oriented systems, including encapsulation, inheritance and subtype polymorphism (dynamic dispatch).
Mark Utting +3 more
core +1 more source
Interactive experiments in object-based retrieval [PDF]
Object-based retrieval is a modality for video retrieval based on segmenting objects from video and allowing end-users to use these objects as part of querying.
Sorin Sav +9 more
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Daily Object-Oriented Narratives in the Point of Art of Gülsün Karamustafa
In the 1980s, the definition, boundaries and purpose of Turkish art entered the process of change and increased its prominence with different approaches.
Mehmet Hasan Demirci, Cüneyt Kurt
doaj +1 more source
Recognition of complex object-centred spatial configurations in early infancy
In a series of experiments we tested 4- and 8-month-olds' ability to represent the spatial layout of an object across changes in its orientation with respect to egocentric spatial coordinates.
Volein, A. +12 more
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Object Naming Induces Viewpoint-Independence in Longer-Term Visual Remembering: Evidence From a Simple Object Drawing Task. [PDF]
The impact of object naming on object drawing confirms an association between object categorisation and viewpoint-independence in longer-term visual remembering.
Bremner, J. Gavin +2 more
core
Pattern discovery for object categorization
This paper presents a new approach for the object categorization problem. Our model is based on the successful `bag of words' approach. However, unlike the original model, image features (keypoints) are not seen as independent and orderless. Instead, our
Zhang, Edmond Yiwen +3 more
core +1 more source
Object Recognition with and without Objects [PDF]
While recent deep neural networks have achieved a promising performance on object recognition, they rely implicitly on the visual contents of the whole image. In this paper, we train deep neural networks on the foreground (object) and background (context) regions of images respectively.
Zhuotun Zhu, Lingxi Xie, Alan L. Yuille
openaire +2 more sources
Research Object Bundle 1.0 [PDF]
This specification defines a file format for storage and distribution of Research Objects as a ZIP archive; called a Research Object Bundle (RO Bundle).
Haines, Robert +4 more
core +1 more source

