Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images

no code implementations • 15 Nov 2023 • Zhaocong liu, Fa Zhang, Lin Cheng, Huanxi Deng, Xiaoyan Yang, Zhenyu Zhang, ChiChun Zhou

Addressing this, an unsupervised classification method with three key ideas is introduced: 1) dual-step feature dimensionality reduction using a pre-trained model and manifold learning, 2) a voting mechanism from multiple clustering algorithms, and 3) post-hoc instead of prior manual annotation.

Classification Dimensionality Reduction +1

A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle Palace

no code implementations • 12 Sep 2023 • Jing Yang, Nur Intan Raihana Ruhaiyem, ChiChun Zhou

Here, a 3M-Hybrid model is proposed to address these challenges.

SSIM Transfer Learning

Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning

no code implementations • 27 Apr 2023 • Yu Gong, Xiaoqiao Wang, ChiChun Zhou

Compared to the traditional augmentation method's F1-score of 64. 59%, the proposed method achieved an 18. 22% increase in the best result, demonstrating its feasibility and effectiveness in few-data industrial defect detection.

Defect Detection

Efficiently Solving High-Order and Nonlinear ODEs with Rational Fraction Polynomial: the Ratio Net

no code implementations • 18 May 2021 • Chenxin Qin, Ruhao Liu, Maocai Li, Shengyuan Li, Yi Liu, ChiChun Zhou

The ratio net holds promise for advancing the efficiency and effectiveness of solving differential equations.