output
20192024
most citedFocus-and-Detect: A Small Object Detection Framework for Aerial Images

107 citations

Showing 2022Show all

5 papers · 1 filter

cs.DC202213 cited

Benchmarking Apache Spark and Hadoop MapReduce on Big Data Classification

Taha Tekdogan, Ali Cakmak

Most of the popular Big Data analytics tools evolved to adapt their working environment to extract valuable information from a vast amount of unstructured data. The ability of data…

cs.CV202217 cited

LPYOLO: Low Precision YOLO for Face Detection on FPGA

Bestami Günay, Sefa Burak Okcu, Hasan Şakir Bilge

In recent years, number of edge computing devices and artificial intelligence applications on them have advanced excessively. In edge computing, decision making processes and compu…

cs.CV20223 cited

An Efficient Method for Face Quality Assessment on the Edge

Sefa Burak Okcu, Burak Oğuz Özkalaycı, Cevahir Çığla

Face recognition applications in practice are composed of two main steps: face detection and feature extraction. In a sole vision-based solution, the first step generates multiple…

cs.LG202219 cited

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…

cs.CV2022107 cited

Focus-and-Detect: A Small Object Detection Framework for Aerial Images

Onur Can Koyun, Reyhan Kevser Keser, İbrahim Batuhan Akkaya +1

Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects…