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IEEE23d

Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise

Abstract: Graph-based semi-supervised learning (GSSL) is a quite important technology due to its effectiveness in practice. Existing GSSL works often treat the given labels equally and ignore the ...
IEEE11d

SCoAMPS: Semi-Supervised Graph Contrastive Learning Based on Associative Memory Network and Pseudo-Label Similarity

Abstract: Graph data have extensive applications in various domains, including social networks, biological reaction networks, and molecular structures. Graph classification aims to predict the ...
GitHub12d

KASAL: Key-Axis-based Symmetry Axis Localization

The paper "Key-Axis-based Localization of Symmetry Axes in 3D Objects Utilizing Geometry and Texture" is now available at DOI: 10.1109/TIP.2024.3515801. KASAL is a project designed for determining the ...
GitHub15d

Graph Attention Transformer Network for Multi-Label Image Classification

checkpoint/coco/model_best_89.2803.pth.tar and checkpoint/voc/model_best_96.3178.pth.tar (BaiDu),(password:oq7s) python train_gatn.py data/coco --image-size 448 ...
Frontiers12d

Synergistic power of functional foods and exercise in colorectal cancer control: targeting metabolism, mitochondrial function, redox homeostasis, exercise performance ...

1 Guangdong Justice Police Vocational College, Guangdong, China 2 Xianda College of Economics and Humanities Shanghai International Studies University, Shanghai, China Gastrointestinal (GI) ...