activity
20182025
most citedOnline Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments

25 citations · 62 across the 17 of their papers we have counts for

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Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV2019★ 25 cited

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments

Bruna G. Maciel-Pearson, Letizia Marchegiani, Samet Akcay +3

With the rapidly growing expansion in the use of UAVs, the ability to autonomously navigate in varying environments and weather conditions remains a highly desirable but as-of-yet…

cs.CV2019

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery

Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay +1

X-ray imagery security screening is essential to maintaining transport security against a varying profile of threat or prohibited items. Particular interest lies in the automatic d…

cs.CV2019

On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery

Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akcay +2

X-ray security screening is in widespread use to maintain transportation security against a wide range of potential threat profiles. Of particular interest is the recent focus on t…

cs.CV2019

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery

Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akçay +3

X-ray baggage security screening is widely used to maintain aviation and transport security. Of particular interest is the focus on automated security X-ray analysis for particular…

cs.CV2019

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Samet Akçay, Amir Atapour-Abarghouei, Toby P. Breckon

Despite inherent ill-definition, anomaly detection is a research endeavor of great interest within machine learning and visual scene understanding alike. Most commonly, anomaly det…