Salient-Boundary-Guided Pseudo-Pixel Supervision for Weakly-Supervised Semantic Segmentation

Min Shi; Weizhao Deng; Qingming Yi; Weiping Liu; Aiwen Luo

doi:10.1109/lsp.2023.3343945

ScienceGate Book Chapters

JOURNAL ARTICLE

Salient-Boundary-Guided Pseudo-Pixel Supervision for Weakly-Supervised Semantic Segmentation

Min Shi Weizhao Deng Qingming Yi Weiping Liu Aiwen Luo

Year: 2023 Journal: IEEE Signal Processing Letters Vol: 31 Pages: 86-90 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lsp.2023.3343945

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Pixel Segmentation Salient Image segmentation Computer vision Boundary (topology) Pattern recognition (psychology) Natural language processing Mathematics

Metrics

Cited By

1.27

FWCI (Field Weighted Citation Impact)

Refs

0.77

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Salient-Boundary-Guided Pseudo-Pixel Supervision for Weakly-Supervised Semantic Segmentation

Metrics

Citation History

Topics

Related Documents

Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation

Learning Weakly Supervised Semantic Segmentation Through Cross-Supervision and Contrasting of Pixel-Level Pseudo-Labels

Salient object detection enhanced pseudo-labels for weakly supervised semantic segmentation

Extreme Weakly Supervised Binary Semantic Image Segmentation via One-Pixel Supervision

Region-Guided Pixel-Level Label Generation for Weakly Supervised Semantic Segmentation