Unsupervised co-generation of foreground–background segmentation from Text-to-Image synthesis

Yeruru Asrar Ahmed; Anurag Mittal

doi:10.1016/j.cviu.2024.104223

ScienceGate Book Chapters

JOURNAL ARTICLE

Unsupervised co-generation of foreground–background segmentation from Text-to-Image synthesis

Yeruru Asrar Ahmed Anurag Mittal

Year: 2024 Journal: Computer Vision and Image Understanding Vol: 250 Pages: 104223-104223 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2024.104223

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Segmentation Computer science Computer vision Image segmentation Pattern recognition (psychology) Image (mathematics) Natural language processing

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

126

Refs

0.21

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised co-generation of foreground–background segmentation from Text-to-Image synthesis

Metrics

Topics

Related Documents

Unsupervised Co-generation of Foreground-Background Segmentation from Text-to-Image Synthesis

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image

S$^{{\text{3}}}$Seg: A Three-Stage Unsupervised Foreground and Background Segmentation Network

Keypoint-Based Foreground-Background Image Segmentation