Experimental results of different methods on the LEVIR-CD datasets.

<p>SAASNets indicates our proposed change detection networks.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shuai Pang (4447831) (author)
مؤلفون آخرون:	Chaochao You (20642598) (author), Min Zhang (111999) (author), Baojie Zhang (511505) (author), Liyou Wang (20642601) (author), Xiaolong Shi (412458) (author), Yu Sun (18463) (author)
منشور في:	2025
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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