Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
الملخص
In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. In this paper, we propose convolutional segmentation networks (CSNs) that can be trained to learn segmentation of human faces. Unlike the deep classifiers such as Convolutional Neural Network (CNNs), CSNs have the unique design solely for segmentation with minimal complexity. Furthermore, we propose a self-data organization (SDO) in order to create 'expert' CSNs each of which is specialized over a set of images with certain face characteristics. SDO is integrated with CSN training in an interleaved manner and it is the key for the learning with simple and compact networks rather than the deep ones. This is especially a desired property for the limited face datasets with challenging face variations and complexities. Evaluations on the benchmark dataset show that CSNs can achieve an elegant segmentation accuracy despite the limited training data size, thumbnail resolution and highly complex face modalities.
معرّف المصادر الموحد
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006821458&doi=10.1109%2fICIP.2016.7532770&partnerID=40&md5=16444e2c37f473a94969e8373c5b14e5المجموعات
- الهندسة الكهربائية [2611 items ]
وثائق ذات صلة
عرض الوثائق المتصلة بواسطة: العنوان، المؤلف، المنشئ والموضوع.
-
3D Quantum Cuts for automatic segmentation of porous media in tomography images
Malik J.; Kiranyaz, Mustafa Serkan; Al-Raoush R.I.; Monga O.; Garnier P.; Foufou S.; Bouras A.; Iosifidis A.; Gabbouj M.; Baveye P.C.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ... -
An automated robust segmentation method for intravascular ultrasound images
Manandhar, Prakash; Chen, Chi Hau; Coskun, Ahmet Umit; Qidwai, Uvais A. ( World Scientific Publishing Co. , 2014 , Book chapter)It is widely known that the state of a patient's coronary heart disease can be better assessed using intravascular ultrasound (IVUS) than with more conventional angiography. Recent work has shown that segmentation and 3D ... -
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...