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<ri:Resource created="2026-06-29T15:58:43Z" status="active" updated="2026-07-08T00:00:00Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>KiDS grav. lenses obscured by foreground light</title><shortName>J/A+A/710/A366</shortName><identifier>ivo://CDS.VizieR/J/A+A/710/A366</identifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Liu S.</name></creator><creator><name>Li R.</name></creator><creator><name>Jia J.</name></creator><creator><name>Li H.</name></creator><creator><name>Chen L.</name></creator><creator><name>Cao X.</name></creator><creator><name>He Z.</name></creator><creator><name>Busillo V.,Napolitano N.N.</name></creator><creator><name>Tortora C.</name></creator><creator><name>Zhong F.</name></creator><creator><name>Su H.</name></creator><creator><name>Feng H.</name></creator><creator><name>Dong Y.</name></creator><creator><name>Li R.,Gao L.</name></creator><date role="Updated">2026-06-29T14:59:11Z</date><date role="Created">2026-06-29T15:58:43Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>gravitational-lensing</subject><subject>galaxies</subject><subject>visible-astronomy</subject><description>Many lensing images are often obscured by foreground light from the central galaxies, making them challenging to detect. To address the limitations of previous lens search efforts, particularly for samples with smaller RE or faint lensed images, we developed a composite CNN framework that utilizes both U-Net and ResNet architectures for feature extraction and classification. We propose a hybrid search method that combines U-Net and ResNet architectures to enhance the detection of the foreground galaxy-obscured lenses. Our approach consists of two main stages: first, the U-Net model separates the foreground galaxy light from potential lensing signals, creating residual images that highlight the lensing features. Next, the ResNet module performs binary classification on these residual images to determine the presence of lensing signals. We evaluated the hybrid search method with real observational data to demonstrate its effectiveness, achieving a recall of 71.5% and a 4.5% false positive rate at a confidence threshold of 0.6. By applying this method to over 638398 galaxy samples from the Kilo-Degree Survey Data Release 4 and conducting thorough inspections, we identified 88 Class A, 322 Class B, and 1758 Class C candidates. This hybrid approach significantly enhances the completeness of existing strong gravitational lensing searches and shows great potential for improving future astronomical surveys.</description><source format="bibcode">2026A&amp;A...710A.366L</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/710/A366</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/II/383">II/383 : The ESO KiDS-DR5 multi-band source catalog (Wright+ 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