Marketing

Segmentation Models Are Outdated: How to Update Your Marketing Segmentation Practices

The 2016 US presidential election is perhaps the biggest and most public failure of segmentation models in recent memory. Most models not only predicted Hillary Clinton's victory by a comfortable ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
IEEE

EICSeg: Universal Medical Image Segmentation via Explicit In-Context Learning

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
IEEE

Remote Sensing Semantic Segmentation Quality Assessment Based on Vision Language Model

Abstract: Variations in scene complexity and image quality across remote sensing images lead to inconsistent performance when applying pretrained semantic segmentation models. To ensure quality ...