91 citations · 163 across the 4 of their papers we have counts for
4 papers
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification
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…
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery
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. Multisource data analysis, that aims to…
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery
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 exp…
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis
Baris Gecer, Ozge Yalcinkaya, Onur Tasar +1
Multi-instance multi-label (MIML) learning is a challenging problem in many aspects. Such learning approaches might be useful for many medical diagnosis applications including brea…