HIGHLIGHTS
- who: Chengcheng Wang et al. from the College of Information and Computer Engineering, Northeast Forestry University, Harbin, China have published the research work: Research on the Identification of Particleboard Surface Defects Based on Improved Capsule Network Model, in the Journal: Forests 2023, 14, x FOR PEER REVIEW of /2023/
- what: To overcome this challenge, the authors propose using the Capsule Network model, which has been shown to perform well in small sample classification problems. The authors propose an algorithm for the Capsule Network based on the improved CBAM attention model, making it more suitable for . . .
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