A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening by Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang

“…In the spectral correction branch, we designed a local spectral reinforcement (LSR) module and a global spectral rectification (GSR) module to keep the spectral fidelity. …”
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Attention Swin Transformer UNet for Landslide Segmentation in Remotely Sensed Images by Bingxue Liu, Wei Wang, Yuming Wu, Xing Gao

“…This model is based on structure of SwinUNet, attaching a channel Attention and spatial intersection (CASI) module as a parallel branch of the encoder, and a spatial detail enhancement (SDE) module in the skip connection. …”
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Recall Mechanism and Multi-Head Attention for Numerical Reasoning by Linjia Lai, Tien-Ping Tan, Bocan Zeng

“…The decoder, which consists of four modules (RM Module, Selector, MA Module, and Program Solver), generates inference steps and answers based on contextual information from the encoder. …”
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Multi-Scale Construction Site Fire Detection Algorithm with Integrated Attention Mechanism by Haipeng Sun, Tao Yao

“…An iCBAM attention module is designed to suppress background noise interference and enhance the representation capability of the network. …”
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GD-Det: Low-Data Object Detection in Foggy Scenarios for Unmanned Aerial Vehicle Imagery Using Re-Parameterization and Cross-Scale Gather-and-Distribute Mechanisms by Rui Shi, Lili Zhang, Gaoxu Wang, Shutong Jia, Ning Zhang, Chensu Wang

“…(ii) A cross-scale gather-and-distribute pyramid module, which helps to augment the relationship representation of four-scale features via flexible skip fusion and distribution strategies. …”
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Infrared and visible image fusion network based on multistage progressive injection by Kaixuan Chang, Jianhua Huang, Xiyan Sun, Jian Luo, Shitao Bao, Huansheng Huang

“…To effectively leverage the inherent characteristics and complementarity of images, and address the issues of structural blurriness and unclear detailed textures in fused images, we introduce a Dual-channel Shallow Detail Fusion Module (DC-SDFM) and a Deep Feature Fusion Block (DFFB). …”
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AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…Secondly, to deal with the issues of blurring and occlusion of ship numbers due to ship movement or bad weather, a module (C2f_IRMB_DRB) is proposed that can capture high-quality features while weighing the computational effort when processing low-quality images. …”
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Design and evaluation of a voltage-controlled current source for galvanic vestibular stimulation research by Zhi Liu, Shieru Suzuki, Tatsuki Fushimi, Yoichi Ochiai

“…These challenges are particularly pronounced for researchers with limited expertise in electronics, thereby increasing the safety risks and complicating the reproducibility of experimental results. To address these issues, this paper introduces an open-source voltage-controlled current source (VCCS) module specifically designed for GVS. …”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…This study proposes a hierarchical adaptive feature aggregation network (HAF-YOLO) to improve detection precision in remote-sensing images. It addresses issues such as small object size, complex backgrounds, scale variation, and dense object distributions by incorporating three core modules: dynamic-cooperative multimodal fusion architecture (DyCoMF-Arch), multiscale wavelet-enhanced aggregation network (MWA-Net), and spatial-deformable dynamic enhancement module (SDDE-Module). …”
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A Novel Trustworthy Toxic Text Detection Method with Entropy-Oriented Invariant Representation Learning for Portuguese Community by Wenting Fan, Haoyan Song, Jun Zhang

“…This module captures a more holistic representation of semantic information by learning both local and global features of texts. …”
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LATrack: Limited Attention for Visual Object Tracking by Jian Shi, Zheng Chang, Yang Yu, Junze Shi, Haibo Luo

“…However, existing methods of interaction cannot effectively utilize trajectory information, and the significance of the interaction remains unclear. To address these issues, we propose a Limited Attention module (LA module). …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…Secondly, to mitigate the issue of low pixel utilization ratio in small-target detection, a DTADH module is designed, and a shared feature interaction module is constructed. …”
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Flat vs. Curved: Machine Learning Classification of Flexible PV Panel Geometries by Ahmad Manasrah, Yousef Jaradat, Mohammad Masoud, Mohammad Alia, Khaled Suwais, Piero Bevilacqua

“…A calibration analysis on the ML models showed that Random Forest and XGBoost were well calibrated for the flat-mounted module. However, they also showed overconfidence and underconfidence issues with the curved module geometries.…”
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FFAE-UNet: An Efficient Pear Leaf Disease Segmentation Network Based on U-Shaped Architecture by Wenyu Wang, Jie Ding, Xin Shu, Wenwen Xu, Yunzhi Wu

“…Specifically, two innovative modules are introduced in FFAE-UNet: the Attention Guidance Module (AGM) and the Feature Enhancement Supplementation Module (FESM). …”
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ECVNet: A Fusion Network of Efficient Convolutional Neural Networks and Visual Transformers for Tomato Leaf Disease Identification by Fendong Zou, Jing Hua, Yuanhao Zhu, Jize Deng, Ruimin He

“…Specifically, we first designed a Channel Attention Residual module (CAR module) to focus on channel features and enhance the model’s sensitivity to the importance of feature channels. …”
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Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting by Xiaoting Fan, Long Sun, Zhong Zhang

“…Due to the additional binocular information present between the left and right views in stereoscopic images, the CNN-based stereoscopic image retargeting methods have some obvious limitations in capturing long-range dependencies. To address these issues, we present a depth-induced intra-to-inter Transformer network (DITrans-Net) for stereoscopic image retargeting, which learns the long-range dependencies information between intra-view and inter-view by an intra-to-inter feature extraction module and aggregates the depth information of left view and right view by a depth-induced feature integration module. …”
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Sparse Attention-Based Residual Joint Network for Aspect-Category-Based Sentiment Analysis by Jooan Kim, Hyunyoung Kil

“…In addition, it employs a residual joint learning framework that connects the aspect category detection (ACD) task module and the ACSA task module via residual connections, enabling the ACSA module to receive explicit guidance on relevant aspect categories from the ACD module. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…In the detection module, we introduce the innovative MSN-YOLO model, which combines the C2f_MLCA module, the Detect_SEAM module, and the NWD loss function to enhance feature fusion and improve cross-scale information processing. …”
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Dynamic Bidirectional Feature Enhancement Network for Thin Cloud Removal in Remote Sensing Images by Yu Wang, Hao Chen, Ye Zhang, Guozheng Li

“…First, we design a multidimensional attention module comprising skip-recursive dilated convolution-based spatial attention module and frequency-domain-driven channel attention module. …”
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Le numérique au service de l'adaptation d'étudiants allophones à la micro-communauté d'une grande école française by Isabelle Salengros-Iguenane

“…This study deals with the strengths of creating a module using Internet to explore cultural issues. …”
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