566 citations · 741 across the 10 of their papers we have counts for
10 papers
Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
Glenn Jocher, Jing Qiu, Mengyu Liu +3
Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOL…
SenBen: Sensitive Scene Graphs for Explainable Content Moderation
Fatih Cagatay Akyon, Alptekin Temizel
Content moderation systems classify images as safe or unsafe but lack spatial grounding and interpretability: they cannot explain what sensitive behavior was detected, who is invol…
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…
State-of-the-Art in Nudity Classification: A Comparative Analysis
Fatih Cagatay Akyon, Alptekin Temizel
This paper presents a comparative analysis of existing nudity classification techniques for classifying images based on the presence of nudity, with a focus on their application in…
Deep Architectures for Content Moderation and Movie Content Rating
Fatih Cagatay Akyon, Alptekin Temizel
Rating a video based on its content is an important step for classifying video age categories. Movie content rating and TV show rating are the two most common rating systems establ…
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…
Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks
Fatih Cagatay Akyon, Yasar Kemal Alp, Gokhan Gok +1
Detection and classification of radars based on pulses they transmit is an important application in electronic warfare systems. In this work, we propose a novel deep-learning based…
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
Fatih Cagatay Akyon, Sinan Onur Altinuc, Alptekin Temizel
Detection of small objects and objects far away in the scene is a major challenge in surveillance applications. Such objects are represented by small number of pixels in the image…
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…
Instagram Fake and Automated Account Detection
Fatih Cagatay Akyon, Esat Kalfaoglu
Fake engagement is one of the significant problems in Online Social Networks (OSNs) which is used to increase the popularity of an account in an inorganic manner. The detection of…