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Data · dataset · 2025

Adaptive decoders for FLIM networks applied to salient object detection

Listed in REDU - Unicamp Institutional Research Data Repository

This repository contains the source code for the experiments on Feature Learning from Image Markers with Adaptive Decoders (FLIM-AD).

Description

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”.

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Image 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/Q5QZ5V13 d agoJSON v1
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concepts[field].anzsrc:group:4611mapping · redu unicamp brvocabulary-mapper@1.0.0keywords['Machine learning']
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concepts[modality].local:modality:imageenrichment · redu unicamp brkeyword-concept-rules@1.0.0title+description (75%)
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