Adaptive decoders for FLIM networks applied to salient object detection

dc.contributor.author	Soares, Gilson Júnior
dc.contributor.author	Falcão, Alexandre Xavier
dc.date	2025-09-09
dc.date.accessioned	2025-08-17
dc.date.accessioned	2025-09-11T01:11:29Z
dc.date.available	2025-09-11T01:11:29Z
dc.identifier.uri	https://doi.org/10.25824/redu/Q5QZ5V
dc.identifier.uri	https://redu.unicamp.br/dataset.xhtml?amp;persistentId=doi:10.25824/redu/Q5QZ5V
dc.description	This repository contains the source code for the experiments on Feature Learning from Image Markers with Adaptive Decoders (FLIM-AD). The proposed method builds lightweight CNN encoders from small training datasets and combines them with Adaptive Decoders to perform Salient Object Detection (SOD) efficiently. The code enables the full reproduction of results presented in the Master’s thesis: “Adaptive Decoders for FLIM Networks Applied to Salient Object Detection”, and supports the findings reported in the article: “FLIM-Based Salient Object Detection Networks with Adaptive Decoders”.
dc.description.sponsorship	Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.language	English
dc.publisher	Soares, Gilson Júnior
dc.subject	Computer and Information Science
dc.title	Adaptive decoders for FLIM networks applied to salient object detection
dc.description.sponsorshipId	CAPES: 88887.947543/2024-00