Most Entrepreneurs Have 1 Podcast — I Have 7. Here’s How It Gives Me a Huge Competitive Advantage.

Opinions expressed by Entrepreneur contributors are their own. Different audiences have distinct needs. Running seven ...

A zero-shot learning framework for maize cob phenotyping

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Frontiers

Multi-interactive feature embedding learning for medical image segmentation

1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
IEEE

Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks

Abstract: Wildfires continue to occur every year, resulting in millions of acres of burned areas. This makes the task of mapping the burned areas arduous, and it is exacerbated by the fact that many ...
Frontiers

Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot

1 Department of Endocrinology, Air Force Medical Center, Air Force Medical University, Beijing, China 2 Chongqing Zhijian Life Technology Co., Ltd, Chongqing, China Objective: This study aims to ...
IEEE

Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss

Abstract: An accurate land-cover segmentation of very-high-resolution aerial images is essential for a wide range of applications, including urban planning and natural resource management. However, ...