Results 31 to 40 of about 1,343,545 (271)
Associating object names with descriptions of shape that distinguish possible from impossible objects. [PDF]
, 2002 Five experiments examine the proposal that object names are closely linked torepresentations of global, 3D shape by comparing memory for simple line drawings of structurally possible and impossible novel objects.Objects were rendered impossible through ...
Peter Walker +6 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Object recognition and object identification are multifaceted cognitive operations that require various brain regions to synthesize and process information. Prior research has evidenced the activity of both visual and temporal cortices during these tasks.
Daniel Leong +2 more
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Gong-kuang zidonghua, 2022 Machine vision has a certain theoretical basis in target detection and recognition for sorting robot of coal mine belt conveyor. But current target recognition of sorting robot of coal mine belt conveyor is mainly aimed at coal-gangue recognition.
XUE Xusheng +5 more
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Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition [PDF]
, 2017 Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem. The most successful convolutional architectures are developed starting from ImageNet, a large scale collection of
Caputo, Barbara +3 more
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Cholinergic regulation of object recognition memory
Frontiers in Behavioral Neuroscience, 2022 Object recognition memory refers to a basic memory mechanism to identify and recall various features of objects. This memory has been investigated by numerous studies in human, primates and rodents to elucidate the neuropsychological underpinnings in ...
Kana Okada +2 more
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Beyond core object recognition: Recurrent processes account for object recognition under occlusion.
PLoS Computational Biology, 2019 Core object recognition, the ability to rapidly recognize objects despite variations in their appearance, is largely solved through the feedforward processing of visual information.
Karim Rajaei +3 more
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, 2016 Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios.
A Blake +8 more
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Exercise Does Not Effect Context-dependent Episodic Memory [PDF]
, 2019 Memory has been shown to be strongly associated with the context in which it is encoded, suggesting that the context is central to the memory itself. However, the effect of exercise on context dependent object recognition is not fully known.
Greenberg, Michael D.
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Relation Networks for Object Detection
, 2018 Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng +4 more
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Real-time Monocular Object SLAM [PDF]
, 2015 We present a real-time object-based SLAM system that leverages the largest object database to date. Our approach comprises two main components: 1) a monocular SLAM algorithm that exploits object rigidity constraints to improve the map and find its real ...
Gálvez-López, Dorian +3 more
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