The effect of Faster-SWDB—YOLO on 6 types of defects detection.

The effect of Faster-SWDB—YOLO on 6 types of defects detection.

<p>The effect of Faster-SWDB—YOLO on 6 types of defects detection.</p>

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Bibliographic Details
Main Author: Shiwei Yu (6060308) (author)
Other Authors: Feng Pan (257056) (author), Xiaoqiang Zhang (2413909) (author), Linhua Zhou (6430619) (author), Liang Zhang (41392) (author), Jikui Wang (4519225) (author)
Published: 2025
Subjects:
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> aiming
simple defect types
pcb defect detection
lightweight detection algorithm
depthwise separable convolution
redundant parameters within
model &# 8217
yolo </ p
panet network structure
ordinary convolution
model lightweight
scale features
results indicated
parameter count
paper proposes
original model
large numbers
large computation
defective images
confusion caused
cluttered background
c3str module
c3 module
better suited
arithmetic platforms
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Summary:<p>The effect of Faster-SWDB—YOLO on 6 types of defects detection.</p>

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