There can be no doubt that data is the life blood in today’s high-octane high-speed environment of artificial intelligence (AI). The capability of a machine learning framework is more or less directly ...

This project demonstrates object detection and semantic segmentation using state-of-the-art deep learning models, including YOLOv5, Mask R-CNN, and DeepLabV3+. The current implementation focuses on ...

Type dienstverband: Internship and graduation project Locatie: Den Haag Opleidingsniveau: Master Uren per week: Fulltime - 40 What will be your role?

The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

This method is built on a lightweight dual-stream semantic segmentation model called AttnGPRNet, developed in this work to improve feature extraction through attention mechanisms and enhance ...

⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Advanced use cases: Works with Classification, Object Detection, Semantic Segmentation, Embedding-similarity and more. ⭐ Includes ...

In the evaluation, on six remote sensing datasets including object detection and semantic segmentation, EST achieved SOTA performance results using only less than 40 $\%$ of the memory expenditure of ...

(2020) is a deep learning-based segmentation model particularly suitable for salient object detection and segmentation tasks ... responsible for extracting semantic features from the image, typically ...

Creative naming will not alter the undeniable reality that Arunachal Pradesh was, is, and will always remain an integral and inalienable part of India, said Randhir Jaiswal. NEW DELHI: The Indian ...

Molecular HIV cluster detection has improved identification of rapid transmission and care gaps since 2016, enhancing HIV prevention efforts. Health departments use the Enhanced HIV/AIDS Reporting ...