Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets. This paradigm, largely ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...

Anomaly detection: "Deep learning technique strives to recognize abnormal patterns which don't match the behaviors expected for a particular system, out of millions of different transactions.

FOMO is a deep learning object detection model that weighs less ... a popular deep learning model for image classification ... “Traditional object detection algorithms (YOLOv5, MobileNet SSD) ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks. One of the key components of most deep learning–based ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

The Insight and Learning Engine (beta) marks our first foray into deep learning analysis, with the introduction of object detection and land cover classification models - and more to come ...

There are three main tasks in computer vision: image classification, object detection, and semantic segmentation. Geifman said Deci produces multiple types of DeciNets for each task.