Enxu Zhang
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View article: Lightweight grape leaf disease recognition method based on transformer framework
Lightweight grape leaf disease recognition method based on transformer framework Open
View article: End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model
End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Open
RGB-IR(RGB-Infrared) image pairs are frequently applied simultaneously in various applications like intelligent surveillance. However, as the number of modalities increases, the required data storage and transmission costs also double. The…
View article: An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism
An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism Open
Defect recognition is crucial in steel production and quality control, but performing this detection task accurately presents significant challenges. ConvNeXt, a model based on self-attention mechanism, has shown excellent performance in i…
View article: MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism
MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism Open
Maize, a globally essential staple crop, suffers significant yield losses due to diseases. Traditional diagnostic methods are often inefficient and subjective, posing challenges for timely and accurate pest management. This study introduce…
View article: Gradient Correction in Federated Learning with Adaptive Optimization
Gradient Correction in Federated Learning with Adaptive Optimization Open
In federated learning (FL), model training performance is strongly impacted by data heterogeneity across clients. Client-drift compensation methods have recently emerged as a solution to this issue, introducing correction terms into local …
View article: Maize quality detection based on MConv-SwinT high-precision model
Maize quality detection based on MConv-SwinT high-precision model Open
The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integr…
View article: Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation Open
View article: Lightweight Grape Leaf Disease Recognition Method Based on Transformer Framework
Lightweight Grape Leaf Disease Recognition Method Based on Transformer Framework Open
Grape disease image recognition is a crucial part of agricultural disease detection, and accurate identification of grape leaves plays a vital role in agricultural production. This study proposes a deep learning-based method for grape dise…
View article: A lightweight dual-attention network for tomato leaf disease identification
A lightweight dual-attention network for tomato leaf disease identification Open
Tomato disease image recognition plays a crucial role in agricultural production. Today, while machine vision methods based on deep learning have achieved some success in disease recognition, they still face several challenges. These inclu…
View article: A Soybean Classification Method Based on Data Balance and Deep Learning
A Soybean Classification Method Based on Data Balance and Deep Learning Open
Soybean is a type of food crop with economic benefits. Whether they are damaged or not directly affects the survival and nutritional value of soybean plants. In machine learning, unbalanced data represent a major factor affecting machine l…