About: ImageNet Large Scale Visual Recognition Challenge

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scientific article from International Journal of Computer Vision

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2015 (fr) наукова стаття, опублікована у квітні 2015 (uk) im April 2015 veröffentlichter wissenschaftlicher Artikel (de) scientific article from International Journal of Computer Vision (en)
publication date	wds:Q56594393-E6C97B0D-4509-4AE2-BDA1-0EA22BE50C8F
publication date	2015-04-11 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q56594393-60794504-E848-4D76-90B5-FA7577399DCE
language of work or name	English
exact match	wds:Q56594393-5C857D77-5902-4FAD-8A8D-75AC7791F6D5
exact match	https://scigraph.springernature.com/pub.10.1007/s11263-015-0816-y
cites work	wds:Q56594393-5CCC8759-E597-40D0-8F6B-EA8AB979D61A wds:Q56594393-B20AF370-6C19-4C0C-A2F1-8BFD74B04217
cites work	Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion
author name string	wds:Q56594393-0BBA7DC7-CA22-4C41-8FD4-F204036F6E3D wds:Q56594393-2A7437FA-6389-4445-A248-531FAAC0C15C wds:Q56594393-4A62F771-D672-450E-AECC-15B066E4ECF3 wds:Q56594393-69BC6F40-5792-40CB-8D95-C67975761518 wds:Q56594393-6D3C6667-E748-46D0-9269-36A02BAFC525 wds:Q56594393-7BE4FE3F-0D55-488E-8682-3E5F7D48EC9D wds:Q56594393-8A8E3BC6-132C-4E37-AD24-A05B01FD97CB wds:Q56594393-C27075B6-B90E-4D68-9CBC-6BAFA67AF585 wds:Q56594393-C34587D8-1722-4433-B213-1DE538362A80 wds:Q56594393-D871A98C-D586-4FC7-830B-883DE1E3DAEB wds:Q56594393-D9BC75BF-B766-4113-8802-4E87D39B6E47 wds:Q56594393-DB861688-159C-4E53-B3E5-09598588B2B4 wds:Q56594393-EB030D42-249E-42DA-8FF0-05C313A4B2D3 wds:Q56594393-ECD3FDE1-10EF-4BBE-8335-87EEE0B61BAE
author name string	Ping Zhang Yu Han Chuan Chen Yi Zhu Zhongwen Li Chenjin Jin Chong Guo Fabao Xu Lanqin Zhao Danyao Nie Xiaohang Wu Duoru Lin Meimei Dongye Pisong Yan
rdfs:label	ImageNet Large Scale Visual Recognition Challenge (en) ImageNet Large Scale Visual Recognition Challenge (nl)
skos:prefLabel	ImageNet Large Scale Visual Recognition Challenge (en) ImageNet Large Scale Visual Recognition Challenge (nl)
name	ImageNet Large Scale Visual Recognition Challenge (en) ImageNet Large Scale Visual Recognition Challenge (nl)
author	wds:Q56594393-A6C4E143-8ECD-41DF-8911-C656518A989C
author	Haotian Lin
title	wds:Q56594393-A7DB41C8-E6E3-4E4B-8F1E-A857BBF8952C
title	ImageNet Large Scale Visual Recognition Challenge (en)
page(s)	wds:Q56594393-1CCAD7D0-35E3-42EC-AD21-A2E18FCE9BEE
page(s)	143
instance of	wds:Q56594393-DE14CA53-0067-4F5A-9EE6-E35C68E0E3F8
instance of	scholarly article
main subject	wds:Q56594393-0c1dd413-4bcf-5b96-6f21-65033dfc1e05
main subject	ImageNet
PubMed ID	wds:Q56594393-008F12F7-7F1F-46DA-8B4F-831E0E256FAB
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/33299079
PubMed ID	33299079
DBLP publication ID	wds:Q56594393-CA83AEFD-ADEB-4596-BC04-D2F742EE6F27
DBLP publication ID	https://dblp.org/rec/journals/ijcv/RussakovskyDSKS15
DBLP publication ID	journals/ijcv/RussakovskyDSKS15
published in	wds:Q56594393-D85F6997-E96F-4BA9-95CD-20D109FC47C1
published in	npj Digital Medicine
issue	wds:Q56594393-20F2213A-FE10-423E-9D9C-58AAB1696C26
volume	wds:Q56594393-0FE40C6B-966D-4A85-88F6-579E2364A1C8
issue	1
volume	3
DOI	wds:Q56594393-4BFAFC64-AE11-4E51-98AA-6FC63E260E93
DOI	http://dx.doi.org/10.1007/S11263-015-0816-Y
DOI	10.1007/S11263-015-0816-Y
ResearchGate publication ID	wds:Q56594393-93BBD40C-58E3-4EA2-B29F-CC4CCAAA9DE8
ResearchGate publication ID	265295439
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56594393
is cites work of	Dermatologist-level classification of skin cancer with deep neural networks Recognition of Activities of Daily Living with Egocentric Vision: A Review Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique. Atoms of recognition in human and computer vision Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. Fully Automated Deep Learning System for Bone Age Assessment. To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field Deep learning for computational biology DeepFruits: A Fruit Detection System Using Deep Neural Networks Building Machines That Learn and Think Like People Deep learning approach to bacterial colony classification. Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices. Face classification using electronic synapses On the Effects of Spam Filtering and Incremental Learning for Web-Supervised Visual Concept Classification High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel. Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision. Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology.

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