HIGHLIGHTS
- who: Siamese attention mechanism module and colleagues from the (UNIVERSITY) have published the article: AMIO-Net: An attention-based multiscale input-output network for building change detection in high-resolution remote sensing images, in the Journal: (JOURNAL)
- what: More importantly the authors design two modules: the pyramid pooling (PPAM) and the (SAMM). These models don`t introduce attention mechanisms, which causes the model to focus on learning large-scale buildings with significant changes while ignoring buildings with minor changes. To address this drawback, the authors propose an attention mechanism, which firstly refines the input feature . . .

If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.