These collective characteristics make Python suitable for multiple applications. Particularly in the field of graphical user interface (GUI) development, Python notably excels. Numerous Python ...

This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...

This valuable study combines real-time keypoint tracking with transdermal activation of sensory neurons to investigate sensory neuron recruitment in freely moving mice, and builds on the authors' ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Abstract: The detection of small objects within intricate backgrounds poses a significant challenge in the domain of aerial image object detection. In this manuscript, a spatial context-aware ...

Abstract: The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the background. This ...

The input images are directly resized to match the input size of the model. I skipped adding the pad to the input image, it might affect the accuracy of the model if the input image has a different ...

To make better use of given limited labels, we propose a novel object detection approach that takes advantage of both multi-task learning (MTL) and self-supervised learning (SSL). We propose a set of ...

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...

"For years, ransomware groups have been switching to newer, unconventional languages to make reverse engineering and detection more difficult," the ... "For instance, APT29 recently used Python in ...