Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification

no code implementations • 23 May 2021 • Bulut Aygunes, Ramazan Gokberk Cinbis, Selim Aksoy

Multisource image analysis that leverages complementary spectral, spatial, and structural information benefits fine-grained object recognition that aims to classify an object into one of many similar subcategories.

Object Object Recognition +1

Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery

no code implementations • 18 Jan 2019 • Gencer Sumbul, Ramazan Gokberk Cinbis, Selim Aksoy

Fine-grained object recognition concerns the identification of the type of an object among a large number of closely related sub-categories.

General Classification Object Recognition

Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery

no code implementations • 9 Dec 2017 • Gencer Sumbul, Ramazan Gokberk Cinbis, Selim Aksoy

Fine-grained object recognition that aims to identify the type of an object among a large number of subcategories is an emerging application with the increasing resolution that exposes new details in image data.

Language Modelling Object Recognition +2

Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis

no code implementations • 10 Oct 2015 • Baris Gecer, Ozge Yalcinkaya, Onur Tasar, Selim Aksoy

Multi-instance multi-label (MIML) learning is a challenging problem in many aspects.

Breast Cancer Detection General Classification +2