Weakly supervised semantic segmentation via self-supervised destruction learning

Jinlong Li; Zequn Jie; Xu Wang; Yu Zhou; Lin Ma; Jianmin Jiang

doi:10.1016/j.neucom.2023.126821

ScienceGate Book Chapters

JOURNAL ARTICLE

Weakly supervised semantic segmentation via self-supervised destruction learning

Jinlong Li Zequn Jie Xu Wang Yu Zhou Lin Ma Jianmin Jiang

Year: 2023 Journal: Neurocomputing Vol: 561 Pages: 126821-126821 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2023.126821

Get Full-Text PDF Get Analytical Report

Keywords:

Discriminative model Pascal (unit) Computer science Artificial intelligence Segmentation Pattern recognition (psychology) Backbone network Aggregate (composite) Supervised learning Machine learning Artificial neural network

Metrics

Cited By

1.46

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cultural Heritage Materials Analysis

Social Sciences → Arts and Humanities → Archeology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Weakly supervised semantic segmentation via self-supervised destruction learning

Metrics

Citation History

Topics

Related Documents

Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation

Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation via Self-training

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation

Weakly Supervised Semantic Segmentation with Deep Learning