463 citations · 790 across the 24 of their papers we have counts for
3 papers · 1 filter
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Mustafa Sercan Amac, Ahmet Sencan, Orhun Bugra Baran +2
Just like other few-shot learning problems, few-shot segmentation aims to minimize the need for manual annotation, which is particularly costly in segmentation tasks. Even though t…
Caption Generation on Scenes with Seen and Unseen Object Categories
Berkan Demirel, Ramazan Gokberk Cinbis
Image caption generation is one of the most challenging problems at the intersection of vision and language domains. In this work, we propose a realistic captioning task where the…
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…