Paul Fricker

05
Feb
Data Augmentation in Classification and Segmentation: A Survey and New Strategies

Data Augmentation in Classification and Segmentation: A Survey and New Strategies

In computer vision, deep learning models have proven instrumental in tackling various tasks, from object detection and segmentation to image
4 min read
27
Nov
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Introduction In computer vision, creating accurate segmentation masks for images remains a challenging task. Recent advancements in supervised and unsupervised
2 min read
19
Jun
Unsupervised Learning in Spiking Neural Networks

Unsupervised Learning in Spiking Neural Networks

Introduction Spiking neural networks (SNNs) are computational models inspired by the biological behavior of neurons in the brain. These networks
4 min read