SODAWideNet++: Combining Attention and Convolutions for Salient Object
Detection
SODAWideNet++: Combining Attention and Convolutions for Salient Object
Detection
Salient Object Detection (SOD) has traditionally relied on feature refinement modules that utilize the features of an ImageNet pre-trained backbone. However, this approach limits the possibility of pre-training the entire network because of the distinct nature of SOD and image classification. Additionally, the architecture of these backbones originally built for …