About this document

Image Instance Segmentation: Based On Diffusion Model Improved by Step Noisy by Felipe Vilhena is a document available to read on EtoBox.

This study presents an improved image instance segmentation method using a Step Noisy Perception (SNP) approach based on diffusion models, enhancing recognition accuracy for small and medium-sized objects. The proposed model demonstrates a 2.8% improvement in accuracy over traditional methods when tested on COCO and LVIS datasets. The research highlights the significance of diffusion models in advancing instance segmentation technology across various fields, including autonomous driving and medical image an

Author

Felipe Vilhena

Language

EN