Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

I'm interested in using Coconut for semantic segmentation. I'm looking at the semantic segmentation tutorial. Is it normal that, in the configuration in the conf folder, only instance segmentation and ...

Abstract: Instance segmentation of remote sensing images (RSIs) is an essential task for a wide range of applications such as land planning and intelligent transport. Instance segmentation of RSIs is ...

In the following, I will try to tell you a bit of my “story” about how I read through the various layers and (partly outdated) tutorials on image augmentation for semantic segmentation, what problems ...

Story updated with statement from BeyondTrust. Privileged access management company BeyondTrust suffered a cyberattack in early December after threat actors breached some of its Remote Support SaaS ...

Good businesses know that customer segmentation is a necessity. It’s used for everything from market strategies to discount offers to developing loyalty programs. The more accurate the segmentation is ...