31 citations · 34 across the 6 of their papers we have counts for
6 papers
DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection
Ogulcan Eryuksel, Kamil Anil Ozfuttu, Fatih Cagatay Akyon +4
Drone detection is a challenging object detection task where visibility conditions and quality of the images may be unfavorable, and detections might become difficult due to comple…
Jury: A Comprehensive Evaluation Toolkit
Devrim Cavusoglu, Secil Sen, Ulas Sert +1
Evaluation plays a critical role in deep learning as a fundamental block of any prediction-based system. However, the vast number of Natural Language Processing (NLP) tasks and the…
Sequence Models for Drone vs Bird Classification
Fatih Cagatay Akyon, Erdem Akagunduz, Sinan Onur Altinuc +1
Drone detection has become an essential task in object detection as drone costs have decreased and drone technology has improved. It is, however, difficult to detect distant drones…
Increasing Data Diversity with Iterative Sampling to Improve Performance
Devrim Cavusoglu, Ogulcan Eryuksel, Sinan Altinuc
As a part of the Data-Centric AI Competition, we propose a data-centric approach to improve the diversity of the training samples by iterative sampling. The method itself relies st…
Track Boosting and Synthetic Data Aided Drone Detection
Fatih Cagatay Akyon, Ogulcan Eryuksel, Kamil Anil Ozfuttu +1
This is the paper for the first place winning solution of the Drone vs. Bird Challenge, organized by AVSS 2021. As the usage of drones increases with lowered costs and improved dro…
Automated question generation and question answering from Turkish texts
Fatih Cagatay Akyon, Devrim Cavusoglu, Cemil Cengiz +2
While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experienc…