Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, autonomous navigation, surveillance, microscopy and advanced manufacturing.

In a leap forward for astronomy, a researcher has developed an artificial intelligence algorithm and discovered more than one million objects in ... single [NEOWISE] detection that we had made ...

Consequently, the proposed GMS-YOLO algorithm not only demonstrates superior detection performance but also maintains a relatively low model complexity, significantly enhancing the efficiency and ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow ... Useful for fine-tuning encoder layers at a different pace. resolution Sets the input image ...

Abstract: Camouflaged object detection (COD ... a Feature Coherence Harmonization module to integrate intra-layer features by bridging the knowledge gap between convolutional neural network (CNN) ...

For clinical aid that can be applied to any patient, an automatic cross-patient epilepsy seizure detection algorithm is of great significance ... data augmentation and then employs a 15-layer CNN ...

Multi-object tracking solutions today depend heavily on the computational ... and then load them into any tracking algorithm, eliminating the need to repeatedly generate this data. Some tracking ...