Experimental results of different methods on the CDD datasets.

Experimental results of different methods on the CDD datasets.

<p>SAASNets indicates our proposed change detection networks. Res2net50 indicates the initial backbone network. CPMA indicates channel position multi-head attention module. LAFEM indicates feature extraction module with special attention embedding. RASAM indicates the attention feature fusion...

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Bibliographic Details
Main Author: Shuai Pang (4447831) (author)
Other Authors: Chaochao You (20642598) (author), Min Zhang (111999) (author), Baojie Zhang (511505) (author), Liyou Wang (20642601) (author), Xiaolong Shi (412458) (author), Yu Sun (18463) (author)
Published: 2025
Subjects:
Neuroscience
Science Policy
Space Science
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> interfered
shared attention aggregation
receptive field limits
highly efficient channel
head attention module
cdd datasets show
sharing channel information
encode position details
detecting different scales
building change detection
feature aggregation module
scale local features
irregular object buildings
redundant information
different stages
detection performance
feature extractor
siamese network
siamese features
residual strategy
position multi
global features
external factors
experimental results
encoding stage
detailed semantics
better accuracy
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