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RCSLFNet: a novel real-time pedestrian detection network based on re-parameterized convolution and channel-spatial location fusion attention for low-resolution infrared image
A novel real-time infrared pedestrian detection algorithm is introduced in this study. The proposed approach leverages re-parameterized convolution...
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Material-aware Cross-channel Interaction Attention (MCIA) for occluded prohibited item detection
For security inspection, detecting prohibited items in X-ray images is challenging since they are usually occluded by non-prohibited items. In X-ray...
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Adaptive Channel Attention-Based Deformable Generative Adversarial Network for Underwater Image Enhancement
In this paper, to effectively strengthen quality of underwater image enhancement from both channel and spatial viewpoints, an adaptive channel...
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Plant leaf disease classification using deep attention residual network optimized by opposition-based symbiotic organisms search algorithm
The main obstacle in front of the sustainable development of the agricultural sector is the considerable amount of economic loss due to reduced food...
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MPCSAN: multi-head parallel channel-spatial attention network for facial expression recognition in the wild
Facial expression recognition (FER) in the wild is an exceedingly challenging task in computer vision due to subtle differences, poses, occlusions,...
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Elemental Attention Mechanism-Guided Progressive Rain Removal Algorithm
De-rainy has become a pre-processing task for most computer vision systems. Combining recursive ideas to De-rainy models is currently popular. In...
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Image Manipulation Detection Based on Ringed Residual Edge Artifact Enhancement and Multiple Attention Mechanisms
As image editing techniques continue to evolve, concerns over the security risks associated with forged images are growing. Previous studies have...
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Lightweight multi-scale aggregated residual attention networks for image super-resolution
Recently, single image super-resolution (SISR) based on convolutional neural networks (CNNs) has represented great progress. However, due to the huge...
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Recurrent multi-level residual and global attention network for single image deraining
Deraining is an essential preprocess for many computer vision tasks, e.g., vision-based autonomous driving. The existing methods usually depend on...
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A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Recent studies indicate that deep learning plays a crucial role in the automated visual inspection of road infrastructures. However, current learning...
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Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells
Accurately classifying cervical cells based on the commonly used TBS (The Bethesda System) standard is critical for building the automatic cytology...
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Multi-feature self-attention super-resolution network
In recent years, single-image super-resolution (SISR) methods based on the attention mechanism have been widely explored and achieved remarkable...
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Convolutional neural network with spatio-temporal-channel attention for remote heart rate estimation
Remote photoplethysmography (rPPG), which measures human heart rate without physical contact with the skin, has become active research in recent...
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HRANet: histogram-residual-attention network used to measure neatness of toy placement
Whether the products on the shelf are neatly displayed is one of the important factors affecting consumers’ desire to buy, which is more obvious in...
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Attention-enhanced multi-scale residual network for single image super-resolution
Single image super-resolution (SISR) has important applications in many fields. With the help of this technology, the broadband requirement of image...
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Residual deep attention mechanism and adaptive reconstruction network for single image super-resolution
The low-level image processing task single image super-resolution (SISR) has a long research history. In recent years, convolutional neural networks...
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CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function
Accurate skin disease detection is one of the most challenging tasks due to high-class imbalance and limited labeled datasets. Recently Deep...
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Multi-branch aware module with channel shuffle pixel-wise attention for lightweight image super-resolution
Deep convolutional neural networks (CNNs) have boosted the performance of image super-resolution (SR) in recent years. However, existing deep...
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RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation
Maximizing the advantages of different views and mitigating their respective disadvantages in fine-grained segmentation tasks are an important...
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An ensemble multi-scale residual attention network (EMRA-net) for image Dehazing
Image dehazing aims to recover a clean image from a hazy image, which is a challengingly longstanding problem. In this paper, we propose an Ensemble...
