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Performance metrics and number of parameters of the ResNet18 and the RCANet.

Performance metrics and number of parameters of the ResNet18 and the RCANet.

<p>Performance metrics and number of parameters of the ResNet18 and the RCANet.</p>

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Bibliographic Details
Main Author: Mohammad Zolfaghari (20308480) (author)
Other Authors: Hedieh Sajedi (18771134) (author)
Published: 2024
Subjects:
Plant Biology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
xlink "> aerobiology
less human intervention
achieved weighted f1
suggested attention block
dorsal streams detect
dorsal attention blocks
cretan pollen dataset
69 %, 97
dorsal attention block
dorsal ateetntion block
ventral attention block
pollen grains classification
cpd ), pollen13k
pollen grains
basic block
pollen grain
automated classification
83 %,
vdab ),
tiny insects
test step
score values
proposed method
performed traditionally
occipital lobe
manual method
fungal spores
designed based
channels related
automated approach
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