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Read about my journey with a modern radar sensor, the Acconeer A121, which can detect everything from tiny movements to speed ...
Object detection ... and processing. python LAE-Label/plot_bboxs_odvg_dir.py (Optional) Further optimise the quality of the labelling and develop some rules, refer post process method. Some examples ...
It is recommended to first learn how to set up the environment and usage of YOLOv11 before using this project (which can seamlessly utilize the environment of YOLOv11). Supports multi-spectral object ...
This paper presents SD (Small object detection and DilateFormer ... and validation were performed in a Windows environment using an NVIDIA Tesla T4 graphics card, with PyTorch version 1.8.2 and Python ...
The diffusion-based approach led to much higher accuracy in detecting objects, even though it used fewer images. Specifically, it improved the detection performance by 11% while using 67% fewer ...
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Tech Xplore on MSNImage-based model enhances the detection of surface defects in low-light industrial settingsIn industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...
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Tech Xplore on MSNReal-time boundary detection from noisy images and single-shot HDR imaging expand applicationsPatent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...
A research team at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) has developed a new technique to ...
In an advance in microsensor technology, researchers have unveiled an ultra-sensitive gas detection method using surface ...
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