27 citations · 85 across the 19 of their papers we have counts for
5 papers · 1 filter
ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild
Fatih Can Kurnaz, Burak Hocaoğlu, Mert Kaan Yılmaz +2
Robots collaborating with humans in realistic environments will need to be able to detect the tools that can be used and manipulated. However, there is no available dataset or stud…
Generating Positive Bounding Boxes for Balanced Training of Object Detectors
Kemal Oksuz, Baris Can Cam, Emre Akbas +1
Two-stage deep object detectors generate a set of regions-of-interest (RoI) in the first stage, then, in the second stage, identify objects among the proposed RoIs that sufficientl…
Imbalance Problems in Object Detection: A Review
Kemal Oksuz, Baris Can Cam, Sinan Kalkan +1
In this paper, we present a comprehensive review of the imbalance problems in object detection. To analyze the problems in a systematic manner, we introduce a problem-based taxonom…
Searching for Ambiguous Objects in Videos using Relational Referring Expressions
Hazan Anayurt, Sezai Artun Ozyegin, Ulfet Cetin +2
Humans frequently use referring (identifying) expressions to refer to objects. Especially in ambiguous settings, humans prefer expressions (called relational referring expressions)…
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments
Fethiye Irmak Doğan, Sinan Kalkan, Iolanda Leite
Referring to objects in a natural and unambiguous manner is crucial for effective human-robot interaction. Previous research on learning-based referring expressions has focused pri…