Author

Ge Jin

2 papers indexed here

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Open access Oct 2026

CLIP-Guided Adaptive Sample Selection with Machine Unlearning and Negative Learning Strategies for Noisy Labels Learning

Deep neural networks (DNNs), due to their over-parameterization and memorization capacity, are prone to fitting incorrect labels in training data, which can substantially degrade their performance. Consequently, LNL has attracted increasing attention. Popular LNL methods select potentially clean samples for reliable su...

Qian Zhang, Yan-Zhang Chen, Yong-Qi Yuan et al. · Symmetry · 0 citations

Open access Sep 2026

A Dual-Path Attention and Multi-Scale Fusion Network for Crop Disease and Pest Identification

Crop diseases and pests severely threaten global food security. While deep learning has shown promise in controlled settings, real-world field conditions—characterized by complex backgrounds, variable lesion scales, and high inter-class similarity—remain challenging. To overcome limitations in feature representation, s...

Hong Zhang, Fa-Gen Song, Yong-Qi Yuan et al. · Entropy · 0 citations