Structure of the Channel Attention Module.

Structure of the Channel Attention Module.

<div><p>Pyrotechnic detection has always been one of the critical issues in blasting safety. Due to the complex environment of blasting sites, irregular detonator wire postures, and the differences in object scales, making the detection of pyrotechnics more challenging. To address these...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: LinNa Li (5665885) (author)
مؤلفون آخرون: Han Gao (486886) (author), JunYi Lu (21162047) (author), XiaoXiao Xu (21162050) (author)
منشور في: 2025
الموضوعات:
Biochemistry
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
parallel attention mechanism
novel convolutional block
new convolutional block
iou loss function
improved algorithm based
model &# 8217
improved model achieved
varying aspect ratios
experimental results show
depthwise separable convolution
yolov8 </ p
improving feature extraction
blasting sites based
integrate wavelet convolution
average precision increase
separable convolution
blasting sites
model uses
varying scales
results indicate
recall increase
blasting safety
voc2012 dataset
scale convolutions
paper proposes
overlap calculations
object scales
neck network
irregular shapes
effective solution
detonator wires
detect objects
critical issues
complex environment
complex backgrounds
c2f module
built dataset
bounding boxes
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

مواد مشابهة