Attention and Multi-layer Fusion for Real-time Semantic Segmentation ... Abstract: Semantic segmentation is a challenging task in the field of computer vision.

The multi-layer fusion structure can combine the feature pixels of different feature layers, which can better exploit the advantages of the deep structure and ...

This paper proposes a Gated Multi-layer Fusion Network, a structure that enhances the precise restoration of pixels from two aspects, and adopts the small ...

In this paper, we present the Cross-CBAM network, a novel lightweight network for real-time semantic segmentation. Specifically, a Squeeze-and-Excitation Atrous ...

Real-Time Image Semantic Segmentation Based on Attention Mechanism and Multi-Label Classification[J]. Journal of Computer-Aided Design & Computer Graphics ...

AFF module guides the fusion of low-level and middle-level feature information through high-level semantic information, and finally refines the fusion result ...

Oct 31, 2023 · To be precise, we use the Dual-Guided Attention (DGA) module we proposed to replace some multi-scale transformations with the calculation of ...

Jul 13, 2023 · Most existing real-time semantic segmentation methods use element addition or channel concatenation operations when performing feature fusion, ...

This work proposes a multi-level feature fusion network referred to as MLFFNet that utilizes a novel deep neural network architecture for efficient and ...

Jun 1, 2022 · Automatically learning to focus on salient regions while suppressing irrelevant regions is very useful in some specific image segmentation tasks ...