DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples by Hongzhuang Ji, Leying Song, Zhaohui Xue, Hongjun Su

“…Second, we design a dual-scale constrained graph U-Nets encoder, and use an attention feature fusion module dynamically weights these multiscale representations using channel-wise attention coefficients, effectively resolving feature redundancy issues. …”
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A Dynamic Cascade Cross-Modal Coassisted Network for AAV Image Object Detection by Shu Tian, Li Wang, Lin Cao, Lihong Kang, Xian Sun, Jing Tian, Xiangwei Xing, Bo Shen, Chunzhuo Fan, Kangning Du, Chong Fu, Ye Zhang

“…To preserve multimodal fine-grained details, we devise a scale-adaptive dynamic feature prompt module, which dynamically motivates the backbone network to capture feature degradation clues. …”
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A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields by Jinyong Huang, Xu Xia, Zhihua Diao, Xingyi Li, Suna Zhao, Jingcheng Zhang, Baohua Zhang, Guoqiang Li

“…Secondly, a four-stage inverted residual moving block (iRMB) was employed to construct a lightweight iDEMA module, which was used to replace the original C2f feature extraction module in the Neck to improve model performance and accuracy. …”
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MVCL: Multiview Complementary Learning Network for Remote Sensing Image Change Detection by Andong Huang, Chuan Xu, Liye Mei, Zhiwei Ye, Wei Yang, Ying Wang, Xinghua Li

“…Furthermore, to mitigate the noise introduced during multiscale fusion in the nonchange (background) areas, we propose a prior-guided spatial background enhancement module, which consists of a prior semantic guidance strategy and a spatial background enhancement module. …”
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Voltage sag assessment method considering low-voltage ride-through of inverter-interfaced distributed generators by Xian-yong Xiao, Gui-shan Song, Wen-Xi Hu, Xin-yue Song

“…However, inadequate analysis of the mutual effect of IIDGs and voltage sags degrades the performance of voltage sag assessment. To address this issue, the current study proposes a voltage sag assessment method considering the LVRT of IIDGs, where voltage sag characteristics are calculated in two modules. …”
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LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion by Xintong Hu, Peishun Liu, Xuefang Wang, Peiyao Wu, Ruichun Tang

“…In the global branch, the dual feature cross fusion module fuses local features and global semantic information, focusing on critical semantic information and enabling the mutual refinement and matching of local and global features. …”
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AECA-FBMamba: A Framework with Adaptive Environment Channel Alignment and Mamba Bridging Semantics and Details by Xin Chai, Wenrong Zhang, Zhaoxin Li, Ning Zhang, Xiujuan Chai

“…Additionally, we incorporate the Feature Bridging Mamba (FBMamba) module, which enables smooth receptive field reduction, effectively addressing feature alignment issues when integrating local contexts into global representations. …”
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SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…Moreover, we introduce a new feature aggregation module called the Cross-Stage Partial Parallel Atrous Feature Pyramid Network (CPAFPN). …”
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Enhancing driver emotion recognition through deep ensemble classification by Faizan Zaman, Zhigang Xu, Adil Hussain, Anees Ullah, Khalid Zaman

“…It recognizes the common issue of driver emotions, which often leads to the neglect of poor driving practices. …”
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Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

“…By introducing the DBB module to replace the ELAN-Tiny module in the backbone network, the capability of multi-scale feature extraction during the training phase is enhanced, the number of parameters during inference is reduced, and the inference speed has been accelerated. …”
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Empowering Respectful and Inclusive Placement Experiences by Laura Burge, Alicea Yu, Rhiannon Tanner, Thanura Ediri, Alisha Stewart, Mary Rabahi

“…This has included the implementation of a university-wide module to educate students on their rights, responsibilities, and personal safety during internships and placements. …”
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A texture enhanced attention model for defect detection in thermal protection materials by Jialin Song, Zhaoba Wang, Kailiang Xue, Youxing Chen, Guodong Guo, Maozhen Li, Asoke K. Nandi

“…Then we develop a non-local dual attention module to address the issue of severe feature loss in tiny defects. …”
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MGFNet: An MLP-dominated gated fusion network for semantic segmentation of high-resolution multi-modal remote sensing images by Kan Wei, JinKun Dai, Danfeng Hong, Yuanxin Ye

“…MGFNet consists of three modules: a multi-path feature extraction network, an MLP-gate fusion (MGF) module, and a decoder. …”
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Few-Shot Classification Study for Prototype Fusion and Completion by Yuheng Wang, Yanguo Sun, Zhenping Lan, Nan Wang, Jiansong Li, Xincheng Yang

“…Specifically, the network utilizes a fusion module to generate fusion feature maps with more class-specific characteristics, and a completion module to refine and complete the prototype using these fusion feature maps, yielding the final prototype. …”
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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…In the Neck, we replace the original C3 module with the lightweight C3-Faster module to strike a balance between accuracy and model efficiency, thereby reducing latency without sacrificing performance. …”
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Dual-Stream Global Relationship Learning for Oriented Object Detection in Remote Sensing Images by Peng Sun, Yongbin Zheng, Wanying Xu, Jiansong Yang

“…One of the reasons is that existing methods mainly focus on local features, while overlooking the correlation among objects and common sense knowledge, which is inconsistent with the human visual system. To address this issue, we propose a dual-stream global relationship learning method consisting of two modules: a dynamic correlation learning (DCL) method and a global knowledge mapping (GKM) module. …”
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Precise Feature Removal Method Based on Semantic and Geometric Dual Masks in Dynamic SLAM by Zhanrong Li, Chao Jiang, Yu Sun, Haosheng Su, Longning He

“…A key innovation of this approach is the incorporation of a Perspective-n-Point (PnP)-based optimization module. This module dynamically updates the outlier set on a per-frame basis, enabling continuous monitoring and selective removal of dynamic features. …”
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Design and implementation of civil aircraft test database for multi-discipline integration by LI Xinyang, FENG Yunwen, LI Jian, LU Cheng, XIE Yajun, YANG Li

“…The logical relationships between the storage content of various test modules are clarified，then the flight module serving as an example is taken for detailed database module design. …”
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A weakly supervised method for surgical scene components detection with visual foundation model. by Xiaoyan Zhang, Jingyi Feng, Qian Zhang, Liming Wu, Yichen Zhu, Ziyu Zhou, Jiquan Liu, Huilong Duan

“…However, using instrument's class activation as a position attention guide for target recognition leads to positional deviations in the target's resulting positive activation. To tackle this issue, we propose RDV-AGC by introducing an Attention Guide Correction (AGC) module. …”
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YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes by Jinwang Yi, Wei Han, Fangfei Lai

“…Fish target detection technology can effectively solve the issue of manual monitoring. However, a majority of current studies are based on ideal underwater environments and are inapplicable to complex underwater aquaculture scenarios. …”
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