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Confusion matrix of the detection results on NEU-DET dataset.

Confusion matrix of the detection results on NEU-DET dataset.

<p>Confusion matrix of the detection results on NEU-DET dataset.</p>

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Bibliographic Details
Main Author: Shouluan Wu (22601074) (author)
Other Authors: Hui Yang (91136) (author), Liefa Liao (12098633) (author), Chao Song (379006) (author), Yating Fang (5483327) (author), Yang Yang (45629) (author)
Published: 2025
Subjects:
Medicine
Neuroscience
Cancer
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
steel surfaces constitutes
pose significant difficulties
incorporating resnet18 along
feature extraction functionality
different convolutional groups
detailed ablation studies
deep learning framework
convolutional neural networks
channel random coding
scale feature fusion
low recognition accuracy
de datasets demonstrate
model &# 8217
attention mechanism associated
scale features
de dataset
model registers
model capitalizes
classification accuracy
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vital area
transformer architecture
thus minimizing
parameter redundancy
novel improvement
conventional models
considerable potential
computer vision
combined improvement
cnns ),
bring forth
backbone network
accurate identification
73 %,
72 %,
46 %.
03 %,
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