Abstract: Single-frame infrared small target (SIRST) detection is crucial for both military and civilian applications, but remains challenging due to low resolution and small target sizes. Most ...
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Abstract: Oriented object detection is a challenging and relatively new problem. Most existing approaches are based on deep learning and explore Oriented Bounding Boxes (OBBs) to represent the objects ...
We present HOIMotion – a novel approach for human motion forecasting during human-object interactions that integrates information about past body poses and egocentric 3D object bounding boxes. Human ...
A manually annotated dataset of ~300 images with bounding boxes around medical images only (X-rays, MRIs, CT scans, dermatology images, etc.) designed for fine-tuning YOLO object detection models. The ...
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