A novel autoencoder\nbased multiscale attention mechanism is incorporated with EANet that\nfeeds on both the OCT image and edge-enhanced OCT image at every level of\nthe encoder. The proposed network, EANet, has been trained and tested for\nthe segmentation of all three types of fluids on...
Multi-scale feature fusion facial expression recognition based on attention mechanism which leads to the low expression recognition rate, a method of facial expression recognition based on multi-scale feature fusion attention mechanism is propo... Y Lou 被引量: 0发表: 2023年 Facial Expression Recogni...
Based on deep learning theory, this paper proposes a foreground detection method based on the multiscale U-Net architecture with a fusion attention mechanism. The attention mechanism is introduced into the U-Net multiscale architecture through skip connections, causing the network model to pay more ...
based multi-head self-attention (W-MSA) mechanism and the locally enhanced feed-forward network (LeFF) to exploit the global and local spatial features... L Pang,W Gu,X Cao - 《Remote Sensing》 被引量: 0发表: 2022年 Multi-scale attention network for image inpainting Recently, deep learnin...
1, our AMTNet is a Siamese structure combining CNN, multiscale, transformer, and the attention mechanism. It uses ResNet (He et al., 2016) as the backbone to extract multiscale features from the raw input image pair. Then, it uses the attention and transformer modules to further model ...
An attention-based residual multiscale CNN 'ARM-Net' is proposed.A lightweight global attention module is proposed to learn class-specific features.A comparative analysis with contemporary attention mechanisms is performed.Results indicate the effectiveness of ARM-Net over existing methods.The proposed ...
2.2. Attention Learning and CBAM The attention learning is first inspired by the cognitive neuroscience. When dealing with a certain task, people will pay more attention to the important issue while paying less attention to the unimportant ones. Based on this notion, the attention mechanism is fir...
Swin TransformerYOLOv5multi-scale feature fusionattention mechanismsmall-object detectionremote sensingThis study aimed to address the problems of low detection ... X Cao,Y Zhang,SGY Lang - 《Sensors》 被引量: 0发表: 2023年 Improved remote sensing image target detection based on YOLOv7 Remote se...
In addition, an efficient pyramidal multi-scale channel attention mechanism is designed to highlight the multi-scale spatial information and the boundary features. Finally, a residual structure is integrated to sum the elements from the input feature map to alleviate degradation during training. Sign ...
Through experiments on the COCO dataset, it can be seen that the use of a multiscale FPN mechanism not only solves the problem of center point overlap but also helps improve the accuracy of detection. CenterNet Plus can be used to greatly improve the detection accuracy on the premise of ...