Abstract: Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multiorientation. Recently, end-to-end transformer-based methods have achieved ...
Abstract: Semi-supervised object detection (SSOD), leveraging unlabeled data to boost object detectors, has become a hot topic recently. However, existing SSOD approaches mainly focus on horizontal ...
Today, most consumer imaging systems—handheld, wearable or robotic—can only see objects within the direct line of sight of the camera. But what if these everyday cameras could also see beyond the line ...
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