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Pyramid Scale-aware and Soft-channel spatial attention for traffic sign detection
Accurately detecting small traffic signs in complex and changing environments is challenging. Although the detection accuracy of traffic signs has...
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Human Vision Attention Mechanism-Inspired Temporal-Spatial Feature Pyramid for Video Saliency Detection
Inspired by the human vision attention mechanism, the human vision system uses multilevel features to extract accurate visual saliency information,...
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SPFC NET: Spatial pyramid feature convolution network for brain tumor segmentation in mri images
Accurate segmentation of brain tumor from Magnetic Resonance Imaging (MRI) is an essential task for medical assessments like treatment planning and...
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Feature Decoupled Knowledge Distillation via Spatial Pyramid Pooling
Knowledge distillation (KD) is an effective and widely used technique of model compression which enables the deployment of deep networks in...
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MSSD: multi-scale object detector based on spatial pyramid depthwise convolution and efficient channel attention mechanism
Object detection has made widespread development and remarkable progress in various fields, but, in complex application scenarios, often encounters...
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Encoder–Decoder Network with Depthwise Atrous Spatial Pyramid Pooling for Automatic Brain Tumor Segmentation
The accurate automated brain tumor segmentation is important for disease analysis and control and increases the likelihood of survival. However, it...
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YOLO-SSP: an object detection model based on pyramid spatial attention and improved downsampling strategy for remote sensing images
Object detection is an essential task in remote sensing image processing. However, the remote sensing images are characterized by large range of...
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EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease
Convolutional neural networks (CNNs) have made substantial contributions to the domain of plant disease diagnosis, attaining noteworthy levels of...
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Influence of Unequilateral Apertures of Digital Filters Laplacian “Trunced Pyramid” and “Double Pyramid” on the Accuracy of Television Measuring Systems
AbstractIn the modern world, digital image processing requires increasing the speed of the processing methods and algorithms used. One way to improve...
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Micro-expression action unit recognition based on dynamic image and spatial pyramid
Most of the existing studies have focused on the expression recognition of micro-expressions, while little research has been done on how to recognize...
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Feature spatial pyramid network for low-light image enhancement
Low-light images usually contain high noise and low contrast. This brings bad visual feelings and hinders subsequent computer vision work. At...
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CSPP-IQA: a multi-scale spatial pyramid pooling-based approach for blind image quality assessment
The traditional image quality assessment (IQA) methods are usually based on convolutional neural networks (CNNs). For these IQA methods using CNNs,...
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Refined marine object detector with attention-based spatial pyramid pooling networks and bidirectional feature fusion strategy
Marine object detection has become increasingly important in intelligent underwater robot. Because of color cast and blur in underwater images,...
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Pyramid Attention Network for Image Restoration
Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different...
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FPFnet: Image steganalysis model based on adaptive residual extraction and feature pyramid fusion
Image steganalysis is a technique for detecting images that contain hidden information. Convolutional neural networks have shown great potential in...
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Semantic segmentation based on double pyramid network with improved global attention mechanism
Scene semantic segmentation is an important and challenging task, which requires labeling the category of each pixel in the image accurately. The...
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CPSNet: a cyclic pyramid-based small lesion detection network
The presence of small lesions is an important marker for determining whether a patient will develop malignant tumors. Clinical practitioners could...
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DAF-Net: dense attention feature pyramid network for multiscale object detection
In recent years, object detection has become one of the most prominent components in computer vision. State-of-the-art object detectors now employ...
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FCPFNet: Feature Complementation Network with Pyramid Fusion for Semantic Segmentation
Traditional pyramid pooling modules have shown effective improvements in semantic segmentation tasks by capturing multi-scale feature information....
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SFPANet: Separation and fusion pyramid attention network for crowd counting
Crowd counting methods have become increasingly mature. However, the problem of dramatic scale variation still exists. For this reason, we propose an...
