2 citations · 3 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024★ 1 cited
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO
Fuseini Mumuni, Alhassan Mumuni
Grounding DINO and the Segment Anything Model (SAM) have achieved impressive performance in zero-shot object detection and image segmentation, respectively. Together, they have a g…
cs.CV2024★ 110 cited
A survey of synthetic data augmentation methods in computer vision
Alhassan Mumuni, Fuseini Mumuni, Nana Kobina Gerrar
The standard approach to tackling computer vision problems is to train deep convolutional neural network (CNN) models using large-scale image datasets which are representative of t…