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Researchers have developed a way to use high-frequency electromagnetic waves to visualize objects that are hidden from view – ...
New research shows that AI can detect cancerous tumors in MRI brain scans that doctors often miss because of how small they ...
This development from Fuzhou University in China can potentially improve robotic vision and autonomous vehicle safety.
As an emerging consumer electronic product, the use of unmanned aerial vehicle(UAV) for a variety of tasks has received growing attention and favor in the enterprise or individual consumer electronics ...
The advent of Transformers addressed CNN’s limited receptive fields, with pioneering works like Xue et al. (2022) ’s DIAG-TR establishing dual-network global-local hierarchies and Li et al. (2022b) ...
Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.
This paper proposes a fully transformer-based method for building an end-to-end model dedicated to tiny object detection. Our approach eliminates the components which are difficult to be designed in ...
A DeNoising FPN with Transformer R-CNN for Tiny Object Detection A PyTorch implementation and pretrained models for DNTR (DeNoising Transformer R-CNN). We present DN-FPN, a plug-in that suppresses ...
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