In this paper, we have proposed an effective stacked convolutional auto-encoder that integrates a selective kernel attention mechanism for image classification. This model is based ... and decoder in ...

This architecture utilizes a patch-based encoder-decoder structure with skip ... We proposed a fully convolutional encoder-decoder network using convolution modules deemed equivalent as their ...

Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos ... network ...

Abstract: In this paper, we propose a new RGB-thermal image segmentation method based on parameter sharing and attention fusion for safe autonomous driving. An encoder-decoder network structure is ...

This letter presents an enhanced low-light enhancer for UAV nighttime tracking based on Zero ... parameter maps. The encoder, CBAM, and decoder are the components of this network. The encoder consists ...

Finally, we validated the application of image-based high-throughput ... which mainly includes encoder, decoder, and jump connection components. Among them, the encoder, which is mainly composed of 3 ...