This project aims to develop an object detection system for architectural floor plans using the YOLOv8 model. The system was trained to detect various elements commonly found in floor plans, such as ...
Abstract: Object detection (OD) is an essential and fundamental task in computer vision (CV) and satellite image processing. Existing deep learning methods have achieved impressive performance thanks ...
Abstract: We present in this paper a novel denoising training method to speed up DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like ...
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