The aim of the study presented in this paper is to achieve robust detection of paper defects by using visual attention mechanism. The emphasis of our work is to ...
Downloadable! In this paper, an improved paper defects detection method based on visual attention mechanism computation model is presented.
In this paper, an improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature ...
An improved paper defects detection method based on visual attention mechanism computation model is presented, using a new segmentation method based on ...
No information is available for this page. · Learn why
In this paper, an improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature ...
PDF | Inspired by the research of human visual system in neuroanatomy and psychology, the paper proposes a two-way collaborative visual attention model.
A novel unsupervised defect inspection approach with Self-attention Convolutional Adversarial Auto-Encoder (SCAAE) is proposed in this paper.
Missing: Visual | Show results with:Visual
This paper presents an automatic robust segmentation fusing color and depth. A saliency detection algorithm based on visual attention is proposed. Depth is ...
Missing: Novel | Show results with:Novel
In this paper we present a novel gear surface defect detection method based on the improved YOLOv5 network model to address this problem. The presented method ...