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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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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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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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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Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion by Liquan Zhao, Chen Ke, Yanfei Jia, Cong Xu, Zhijun Teng

“…The network first introduces a residual dense module to extract shallow features from the input infrared and visible images. …”
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Fusing feature consistency across views for multi-view stereo by Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han

“…This factor has not been adequately considered in previous studies. To address this issue, we first introduce the color invariance module, which derives a set of object color properties that are independent of illumination and viewpoint from the physics-based reflection model and the RGB-based Gaussian color model. …”
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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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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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Event co-occurrences for prompt-based generative event argument extraction by Jiaren Peng, Wenzhong Yang, Fuyuan Wei, Liang He, Long Yao, Hongzhen Lv

“…In order to address this issue, we propose Event Co-occurrences Prefix Event Argument Extraction (ECPEAE). …”
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Helmet Detection Device for Motorcycles for Safety Riding Porpuses by Dahlan Abdullah, Badriana Badriana, Misbahul Jannah, Dewi Rahayu, Bambang Setiaji, Cut Ita Erliana

“…Our research employs an Arduino Uno microcontroller and various components, including the NRF24L01 wireless module, Limit Switch, battery, charger module for input, and Arduino Uno, NRF24L01, and Relay for output. …”
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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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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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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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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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MFA-net: Object detection for complex X-ray cargo and baggage security imagery. by Thanaporn Viriyasaranon, Seung-Hoon Chae, Jang-Hwan Choi

“…First, the multiscale dilated convolutional module converts the standard convolution of the detector backbone to a conditional convolution by aggregating the features from multiple dilated convolutions using dynamic feature selection to overcome the object-scale variant issue. …”
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BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection by Long Guo, Lubin Wang, Qiang Yu, Xiaolan Xie

“…Our proposed backbone, the Lightweight Multi-scale Residual Network (LMRNet), achieves a lightweight network while enhancing the accuracy of small object detection. To address the issue of insufficient fusion of local and global feature information in PANet, we design the Low-stage gather-and-distribute (Low-GD) module and the High-stage gather-and-distribute (High-GD) module to enhance the model’s multi-scale feature fusion capabilities, thereby refining the integration of local and global features of signature marks. …”
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YOLOv9-GDV: A Power Pylon Detection Model for Remote Sensing Images by Ke Zhang, Ningxuan Zhang, Chaojun Shi, Qiaochu Lu, Xian Zheng, Yujie Cao, Xiaoyun Zhang, Jiyuan Yang

“…Secondly, a Diverse Branch Block (DBB) is embedded in the feature extraction–fusion module, which enriches the feature space by enhancing the representation capability of single-convolution operations, thereby improving model feature extraction performance without increasing inference time costs. …”
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TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds by Runyuan Zhang, Qiong Ding, Alex Hay-Man Ng, Dan Wang, Jiwei Deng, Mingwei Xu, Yuelin Hou

“…Ablation experiments validate the importance of the weight-scaling module and the AdamW optimizer in improving the model's accuracy. …”
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