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Relative Attribute Classification with Deep Rank SVM
[article]
2020
arXiv
pre-print
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Relative attributes indicate the strength of a particular attribute between image pairs. We introduce a deep Siamese network with rank SVM loss function, called Deep Rank SVM (DRSVM), in order to decide which one of a pair of images has a stronger presence of a specific attribute. The network is trained in an end-to-end fashion to jointly learn the visual features and the ranking function. We demonstrate the effectiveness of our approach against the state-of-the-art methods on four image
arXiv:2009.07717v1
fatcat:sxoedmvn3betxd5ovbyvzr3ita
more »
... rk datasets: LFW-10, PubFig, UTZap50K-lexi and UTZap50K-2 datasets. DRSVM surpasses state-of-art in terms of the average accuracy across attributes, on three of the four image benchmark datasets.
Deep Convolutional Neural Network Ensembles Using ECOC
2021
IEEE Access
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SARA ATITO ALI AHMED (Member, IEEE) received the B.Sc. degree in computer science from Ain Shams University, Egypt, in 2011, and the joint M.Sc. degree from Nile University, Egypt, and TU Berlin, Germany ...
doi:10.1109/access.2021.3088717
fatcat:yk6uitl6o5f77iutveserzmle4
Multi-Label Networks for Face Attributes Classification
2018
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
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Face attributes classification is drawing attention as a research topic with applications in multiple domains, such as video surveillance and social media analysis. In most attribute classification systems in literature, independent classifiers are trained separately for each attribute. In this work, we propose to train attributes in groups based on their localization (head, eyes, nose, cheek, mouth, shoulder, and general areas) in a multi-task learning scenario to speed up the training process
doi:10.1109/icmew.2018.8551518
dblp:conf/icmcs/AlyY18
fatcat:67vxj3m2vrforb5tamu55fub3e
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... and to prevent overfitting. We have evaluated the idea of using the location knowledge for a particular attribute group to speed up the network training. Attention is drawn to the area of interest by blurring training images outside the region of interest, fine-tuning the system and freezing the earlier layers before continuing training with original images. Several data augmentation techniques are also performed to reduce overfitting. Our approach outperforms the state-of-the-art of the attributes on the public LFWA dataset, with an average improvement of almost 0.7% points. The accuracy ranges from 78% (detecting oval face or shadow on the face) to 97.4% (detecting blond hair) across the attributes.
Deep Convolutional Neural Network Ensembles using ECOC
[article]
2021
arXiv
pre-print
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Deep neural networks have enhanced the performance of decision making systems in many applications including image understanding, and further gains can be achieved by constructing ensembles. However, designing an ensemble of deep networks is often not very beneficial since the time needed to train the networks is very high or the performance gain obtained is not very significant. In this paper, we analyse error correcting output coding (ECOC) framework to be used as an ensemble technique for
arXiv:2009.02961v2
fatcat:6avvpsnpgrbtblnboxbuhkjy5u
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... p networks and propose different design strategies to address the accuracy-complexity trade-off. We carry out an extensive comparative study between the introduced ECOC designs and the state-of-the-art ensemble techniques such as ensemble averaging and gradient boosting decision trees. Furthermore, we propose a combinatory technique which is shown to achieve the highest classification performance amongst all.
Skin Lesion Classification With Deep CNN Ensembles
2020
2020 28th Signal Processing and Communications Applications Conference (SIU)
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Early detection of skin cancer is vital when treatment is most likely to be successful. However, diagnosis of skin lesions is a very challenging task due to the similarities between lesions in terms of appearance, location, color, and size. We present a deep learning method for skin lesion classification by fusing and fine-tuning three pre-trained deep learning architectures (Xception, Inception-ResNet-V2, and NasNetLarge) using training images provided by ISIC2019 organizers. Additionally, the
doi:10.1109/siu49456.2020.9302125
fatcat:3jdhrti5njb25b3yfazeidwsyu
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... outliers and the heavy class imbalance are addressed to further enhance the classification of the lesion. The experimental results show that the proposed framework obtained promising results that are comparable with the ISIC2019 challenge leader board.
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2105.08506v1 fatcat:uv67tlvobrb7pfu2bfwzsrdesi
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and volume-based (3D) approaches. The 2D system detects the infection on each CT slice independently, combining them to obtain the patient-level decision via different methods (averaging and long-short term memory networks). The 3D system takes the whole CT volume to
arXiv:2105.08506v2
fatcat:phcgpojmgje6hn24xbpdd2nojy
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... rrive to the patient-level decision in one step. A new high resolution chest CT scan dataset, called the IST-C dataset, is also collected in this work. The proposed ensemble, called IST-CovNet, obtains 90.80% accuracy and 0.95 AUC score overall on the IST-C dataset in detecting COVID-19 among normal controls and other types of lung pathologies; and 93.69% accuracy and 0.99 AUC score on the publicly available MosMed dataset that consists of COVID-19 scans and normal controls only. The system is deployed at Istanbul University Cerrahpasa School of Medicine.
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches
[article]
2021
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Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detecting COVID-19 infection, combining slice-based (2D) and volume-based (3D) approaches. The 2D system detects the infection on each CT slice independently, combining them to obtain the patient-level decision via different methods (averaging and long-short term memory networks). The 3D system takes the whole CT volume to
doi:10.48550/arxiv.2105.08506
fatcat:6jtdcn3qdzhqfaeu4h2r3ncb5i
more »
... rrive to the patient-level decision in one step. A new high resolution chest CT scan dataset, called the IST-C dataset, is also collected in this work. The proposed ensemble, called IST-CovNet, obtains 90.80% accuracy and 0.95 AUC score overall on the IST-C dataset in detecting COVID-19 among normal controls and other types of lung pathologies; and 93.69% accuracy and 0.99 AUC score on the publicly available MosMed dataset that consists of COVID-19 scans and normal controls only. The system is deployed at Istanbul University Cerrahpasa School of Medicine.
Author List
2021
2021 29th Signal Processing and Communications Applications Conference (SIU)
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Atito Ali Ahmed
YFCC1M Yüz Özellikleri Veri Kümesi
saraatito@sabanciuniv.edu
1102 Seda Kul
Görme Engelli Bireyler için TensorFlow Lite Kullanılarak Geliştirilen
Android İşletim Sistemi Tabanlı Mobil ...
Veri Kümesi
mefe@sabanciuniv.edu
1101 Berrin Yanikoglu
YFCC1M Yüz Özellikleri Veri Kümesi
berrin@sabanciuniv.edu
1101 Hasan Ocak
YFCC1M Yüz Özellikleri Veri Kümesi
ocakhasan@sabanciuniv.edu
1101 Sara ...
doi:10.1109/siu53274.2021.9477935
fatcat:pxxmgn2cizgmflk3ctifssgzya
Author List
2020
2020 28th Signal Processing and Communications Applications Conference (SIU)
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Emre Pusane
Evrisimsel Sinir Aglari ile Veri-Desteksiz Gözü Kapali Isaret Gürültü Orani
Kestirimi
ali.pusane@boun.edu.tr
1381 Sara Atito Ali Ahmed
Skin Lesion Classification With Deep CNN Ensembles ...
Konusma Varliginin Saptanmasi rasim.ulgen@sestek.com 1581 Murat SARAÇLAR Yapay Sinir Aglari ve Konusmaci Bölütleme ile Gürültülü Ortamlarda Konusma Varliginin Saptanmasi murat.saraclar@boun.edu.tr 1583 Ali ...
doi:10.1109/siu49456.2020.9302340
fatcat:bzwjnqtcwjf3tcgzauhq32mx4u
La natura della sentenza canonica di nullità di matrimonio
2017
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Ma di ciò sarà espressamente trattato a suo luogo. ...
Esse, a quanto indirettamente risulta, verrebbero superate dalla opinione corrente col dire che il matrimonio dichiarato inesistente, in realtà non è mai esi• atito, salvi quegli effetti dei quali è appunto ...
doi:10.14276/1825-1676.650
fatcat:royl53dnojgzliz3esw7kbml6e
O problema da letra de Vespúcio resolvido pelo encôntro e identificação de 14 dos seus escritos
1955
Revista de História
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E sara una carta in figura piana e un apamundo in corpo sferico". ...
Lorenzo deite paro-
le dj Sua Maestà stimo sarà piú
partichularmente raghuagliato. ...
Io ho ri-, sposto havere scripto alie V. ...
doi:10.11606/issn.2316-9141.v11i24p444-498
fatcat:rl5o4jnxrfh5pcul5eyttlninq
Contribuição à Geologia da Bacia de São Paulo
1957
Boletim da Faculdade de Filosofia Ciências e Letras Universidade de São Paulo Geologia
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Para tal, utilizamos o mapa topográfico do Município de São Paulo, executado pela Emprêsa Sara Brasil S. ...
Infelizmente nenhu ma das sondagens localizadas nessa área da depressão atingiram o E m basamento Cristalino, e assim sendo, não foi possível examinarmos o ma terial que ali se encontra recoberto por pacote ...
doi:10.11606/issn.2526-3862.bffcluspgeologia.1957.121841
fatcat:hzgmyspbozanlm46glhs3ktudq
Az Orvosi Hetilap 1961 decemberi lapszámai
1961
Orvosi Hetilap
Preserved Fulltext
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A g. gl. ezek szerint védte e z t a 2 gyerm eket a serum hep atito g en sajátsága ellen. ...
Az optim ális zóna általában a 4-7. csövek között jelentkezett. ...
Tapasztalatunk sze rin t gyakori kis étk e zésekkel és gastropin eg y ü ttes adásával a gastroin testin ális panaszok lényegesen m érsékelhetők. ...
doi:10.1556/650.1961.12.03
fatcat:mptqavls4nh2ves3qllhcg6eim
SOCIETÀ LIGURE ATTI D E L L A SOCIETÀ LIGURE
2011
unpublished
Preserved Fulltext
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Et d' ali' hora in qua sono stati elletti . ...
T ali proteste non sono credute sincere da coloro che tacciano il Cromwell d'ipocrita. ...
fatcat:s7znjyo7erahflo2g6pd4ua474
GIORNALE STORICO E LETTERARIO DELLA LIGURIA D i r e t t o r e : ARTURO CODIGNOLA MERCANTI MILANESI A GENOVA NEL SECOLO XII Società Ligure di Storia Patria-biblioteca digitale-2012 GIANLUIGI BARNI
unpublished
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In me voi non potete amare che le idee in nome d elle q u a li ho per oltre trent'anni combattuto, com'io potei, e p atito e sperato . ...
diversi studiosi, il compito degli storici futuri sarà molto facilitato . ...
fondamentale, utilissim a a lla conoscenza dei personaggi, spes so ignorati oggi da chi non voglia risalire a lla fonte ricchissima, ma un po' faticosa, dei critici nostri del passato : Sopranis, R atti, Ali ...
fatcat:feinpxt7rzbshemzmwoalw2mhu
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