Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Swarnendu Ghosh"'
Publikováno v:
Future Internet, Vol 15, Iss 2, p 70 (2023)
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate—object⟩. Inst
Externí odkaz:
https://doaj.org/article/fb9f8d215889458bbb3c985abbb489f2
Publikováno v:
Multimedia Tools and Applications. 80:17807-17826
Detecting objects in natural scenes can be a very challenging task. In several real-life scenarios it is often found that visible spectrum is not ideal for typical computer vision tasks. Going beyond the range of visible light spectrum, such as the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4232baf6a2b4fbf23711a0d34dc75379
https://doi.org/10.1007/s11042-020-10302-z
https://doi.org/10.1007/s11042-020-10302-z
Autor:
Swarnendu Ghosh, Arpita Basak, Kalpita Dutta, Nibaran Das, Mita Nasipuri, Mahantapas Kundu, Malyaban Bal
Publikováno v:
Pattern Recognition Letters. 135:64-71
Encoder decoder models with multi-scale feature concatenations have become ubiquitous for various natural scene segmentation tasks. In the current approach, a similar model with an improved mirror connection from encoders to decoder has been proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b40f1919de5083af60dbfb174a4be8a
https://doi.org/10.1016/j.patrec.2020.04.002
https://doi.org/10.1016/j.patrec.2020.04.002
Publikováno v:
Deep Learning Models for Medical Imaging ISBN: 9780128235041
Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11f8e4639c76f82f657d02f8065d3d81
https://doi.org/10.1016/b978-0-12-823504-1.00014-3
https://doi.org/10.1016/b978-0-12-823504-1.00014-3
Publikováno v:
Deep Learning Models for Medical Imaging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf0e6929be896828ac0fabbddb56848
https://doi.org/10.1016/b978-0-12-823504-1.00013-1
https://doi.org/10.1016/b978-0-12-823504-1.00013-1
Publikováno v:
Deep Learning Models for Medical Imaging ISBN: 9780128235041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddb81e379b3e18025490083bd409839f
https://doi.org/10.1016/b978-0-12-823504-1.00011-8
https://doi.org/10.1016/b978-0-12-823504-1.00011-8
Publikováno v:
Pattern Recognition. 93:79-94
Convolutional Neural Network has become very common in the field of computer vision in recent years. But it comes with a severe restriction regarding the size of the input image. Most convolutional neural networks are designed in a way so that they c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1e75c432bbdbc6c2f003d9ce1fcc544
https://doi.org/10.1016/j.patcog.2019.04.009
https://doi.org/10.1016/j.patcog.2019.04.009
SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving
Publikováno v:
International Journal of Machine Learning and Cybernetics. 10:3145-3154
Semantic image segmentation can be used in various driving applications, such as automatic braking, road sign alerts, park assists, and pedestrian warnings. More often, AI applications, such as autonomous modules are available in expensive vehicles.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ed9512ba6444e011df42dbaa9d87879
https://doi.org/10.1007/s13042-019-01005-5
https://doi.org/10.1007/s13042-019-01005-5
Publikováno v:
Neural Computing and Applications. 32:2829-2844
Handwritten document recognition has been an active domain of research in the field of computer vision for several years since 1914 with the development of handheld scanner for reading printed texts called “optophone”. In India, which has several
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d31482e0c2d697b3f4014cc1426fe76b
https://doi.org/10.1007/s00521-019-04111-1
https://doi.org/10.1007/s00521-019-04111-1
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811605062
RTIP2R (1)
RTIP2R (1)
In this work, we present a novel method that uses convolutional neural networks (CNNs) for multi scale and multi spectral feature extraction. The model is not only limited to conventional spatial domain representation but also multilevel two dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f686ea66fd1d897bba9ddec6c6699459
https://doi.org/10.1007/978-981-16-0507-9_42
https://doi.org/10.1007/978-981-16-0507-9_42