IEEE

Harnessing Machine Learning for Effective Customer Segmentation

Abstract: The paper’s objective is to utilize machine learning techniques for customer segmentation. We aim to identify significant patterns and segments within a customer base to enhance marketing ...
GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation Cut -and- LE a R n (CutLER) is a simple approach for training object detection and instance segmentation models ...
GitHub

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
IEEE

Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection

Abstract: The main challenge of multimodal change detection (MCD) is that multimodal bitemporal images (MBIs) cannot be compared directly to identify changes. To overcome this problem, this paper ...