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Improved Object-Based Style Transfer with Single Deep Network
This research paper proposes a novel methodology for image-to-image style transfer on objects utilizing a single deep convolutional neural network.
YOLOv8-Based Visual Detection of Road Hazards: Potholes, Sewer Covers, and Manholes
The research assesses the robustness and generalization capabilities of the models through mAP scores calculated across the diverse test scenarios, underlining the significance of YOLOv8 in road hazard detection and infrastructure maintenance.
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