Results 11 to 20 of about 9,658 (219)
Biologically-inspired machine vision [PDF]
, 2013 © Cranfield UniversityThis thesis summarises research on the improved design, integration and expansion of past cortex-like computer vision models, following biologically-inspired methodologies.
Tsitiridis, A.
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Insights into few shot learning approaches for image scene classification [PDF]
PeerJ Computer Science, 2021 Image understanding and scene classification are keystone tasks in computer vision. The development of technologies and profusion of existing datasets open a wide room for improvement in the image classification and recognition research area ...
Mohamed Soudy, Yasmine Afify, Nagwa Badr
doaj +2 more sources
RepConv: A novel architecture for image scene classification on Intel scenes dataset [PDF]
International Journal of Intelligent Computing and Information Sciences, 2022 Image understanding and scene classification are keystone tasks in computer vision. The advancement of technology and the abundance of available datasets in the field of image classification and recognition study provide plenty of attempts for ...
Yasmine Afify, Nagwa Badr, Mohamed Soudy
doaj +1 more source
Vision for Scene Understanding [PDF]
, 2022 This manuscript covers my recent research on vision algorithms for scene understanding, articulated in 3 research axes: 3D Vision, Weakly supervised vision, and Vision and physics.
de Charette, Raoul
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Ontology-Coupled Active Contours for Dynamic Video Scene Understanding [PDF]
, 2011 In this paper, we present an innovative approach coupling active contours with an ontological representation of knowledge, in order to understand scenes acquired by a moving camera and containing multiple non-rigid objects evolving over space and time ...
McCluskey, Thomas L. +4 more
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Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021 This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications.
Manuel Eugenio Morocho-Cayamcela
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Machine Vision Techniques for the Evaluation of Animal Behaviour [PDF]
, 2001 Over the last few decades the nature of farming has changed dramatically with small labour intensive farms being replaced by large, highly automated farms. With this change in the way things are done comes a new concern for animal welfare.
Magee, Derek Robert
core +6 more sources
Algorithms, 2023 Scene understanding is one of the most challenging areas of research in the fields of robotics and computer vision. Recognising indoor scenes is one of the research applications in the category of scene understanding that has gained attention in recent ...
Ranjini Surendran +3 more
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PackerRobo: Model-based robot vision self supervised learning in CART
Alexandria Engineering Journal, 2022 Robots are most widely used to replace human contribution with machine generated response. When humans interact with robots, its mandatory for both to forecast actions based on current conditions. Huge efforts have been channelized towards attaining this
Asif Khan +8 more
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Holistic indoor scene understanding, modelling and reconstruction from single images [PDF]
, 2021 Overall, this thesis provides a series of novel approaches towards holistic 3D indoor scene understanding, modelling and reconstruction. It aims at automatic 3D scene perception that enables machines to understand and predict 3D contents as human vision,
Nie, Yinyu
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