MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR by Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng

“…Specifically, it designs Mamba-Backbone, combining SSM and CNN to effectively extract both global contextual and local spatial information, as well as a slim path aggregation feature pyramid network (Slim-PAFPN) to enhance multi-level feature extraction and further reduce complexity. …”
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Enhanced YOLOv10 Framework Featuring DPAM and DALSM for Real-Time Underwater Object Detection by Suthir Sriram, Aburvan P., Arun Kaarthic T. P., Nivethitha Vijayaraj, Thangavel Murugan

“…YOLOv10 is notable for its effective, robust architecture, featuring significant components: advanced backbone networks and enhanced feature pyramid networks that also deliver anchor-free detection. …”
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Impact of the Invasive Brown Marmorated Stink Bug, Halyomorpha halys (Stål), in Mid-Atlantic Tree Fruit Orchards in the United States: Case Studies of Commercial Management by Tracy C. Leskey, Brent D. Short, Bryan R. Butler, Starker E. Wright

“…Among tested sampling techniques, pyramid traps baited with the aggregation pheromone of Plautia stali Scott, methyl-(2E,4E,6Z)-decatrienoate, yielded the most brown marmorated stink bug adults and nymphs, followed by visual observations. …”
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LHB-YOLOv8: An Optimized YOLOv8 Network for Complex Background Drop Stone Detection by Anjun Yu, Hongrui Fan, Yonghua Xiong, Longsheng Wei, Jinhua She

“…Finally, a bidirectional feature pyramid network (BiFPN) is introduced in the neck to effectively reduce the parameters and computational complexity and improve the overall performance of rockfall detection. …”
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GLClick: Interactive Segmentation Combining Global and Local Features by Jiaying Tang, Hongyuan Wang, Zongyuan Ding, Zihao Xin

“…We design an efficient global–local feature fusion module (GLFM) that integrates fine-grained features from various layers of ResNet50 with those from the Transformer feature pyramid. This approach maintains ResNet50’s ability to extract local features while effectively leveraging the Transformer to capture global context. …”
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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…Secondly, the receptive field is enlarged by cascading atrous convolutions with different dilation rates in the ASPP (atrous spatial pyramid pooling) module, and other feature maps are concatenated using the multi-scale attention module to enhance the extraction accuracy of the model. …”
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The in-situ formation and service behavior of spherical FeNi@SiC magnetic abrasives with core-shell structure by Bo Cheng, Ruirui Chen, Bei Yang, Guodong Liang, Xinjian Zhang, Wensheng Li

“…In contrast, a conical indenter behaves similarly to a pyramid indenter, with greater shear strain concentrated at the tip and extending along the sides. …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…Secondly, the SPPFCSPC pyramid pooling is embedded to enhance the speed of image feature fusion while maintaining a consistent receptive field. …”
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YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9 by Xin Geng, Xiao Han, Xianghong Cao, Yixuan Su, Dongxue Shu

“…Besides, we transformed the multi-scale fusion network PANet in the baseline algorithm into a bidirectional feature network pyramid BiFPN to facilitate the bidirectional flow of features, enabling the algorithm to fuse information at different scales more effectively. …”
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An Investigation Into a Lightweight Safety Helmet Detection Approach Utilizing the MSS-YOLO Framework by Bing Zeng, Zhanpeng Liao, Yu Zhou, Dilin He, Zhihao Zhou, Kexin Yi, Yuwen Li, Xiaopin Yang, Yunmin Xie

“…Subsequently, an improved lightweight spatial pyramid pooling module, simSPPF-N(simplified SPPF-NAM), is appended to the backbone network, facilitating a more effective amalgamation of local and global features. …”
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Grid Anchor Lane Detection Based on Attribute Correlation by Qiaohui Feng, Cheng Chi, Fei Chen, Jianhao Shen, Gang Xu, Huajie Wen

“…The upsampling and MLP enhance the dual perception ability of the feature pyramid network in detail features and global features. …”
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Multifeature Fusion Detection Method for Fake Face Attack in Identity Authentication by Haiqing Liu, Shiqiang Zheng, Shuhua Hao, Yuancheng Li

“…Basic LBP methods are also modified by considering the nearest neighbour binary computing method instead of the fixed centre pixel method; the traditional optical flow algorithm is also modified by applying the multifusion feature superposition method, which reduces the noise of the image. In the pyramid model, image processing is performed in each layer by using block calculations that form multiple block images. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…First, this study proposes the Dynamic Spatial-Frequency Attention (DSFA) mechanism, the Pyramid Attention Refinement (PAR) bottleneck structure, and optimizes the feature propagation method to achieve dynamic decoupling of the spatial and frequency domains in multi-scale representation learning. …”
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Chemical Process Fault Diagnosis Based on Improved ResNet Fusing CBAM and SPP by Xiaochen Yan, Yang Zhang, Qibing Jin

“…Finally, based on the backbone path of the network, the branching path after spatial pyramid pooling (SPP) is introduced to enable the network to extract features from different angles of the feature map and further aggregation, which improves the robustness of the model. …”
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HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition by Koichi Ito, Yusei Suzuki, Hiroya Kawai, Takafumi Aoki, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi

“…HandSegNet employs a new CNN architecture consisting of an encoder–decoder model with a pyramid pooling module. Through performance evaluation using a set of synthesised hand images, HandSegNet exhibited the best segmentation results of 98.90% and 93.20% for accuracy and intersection over union, respectively. …”
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Organisational and legal framework for state control over the exercise of administrative jurisdiction by educational institutions in Ukraine by O. Yu. Kyrychenko

“…It is emphasised that the legislator has developed a hierarchical pyramid of relevant governing bodies of public authority in Ukraine to implement the State control over the exercise of administrative jurisdiction by educational institutions. …”
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Approaches to improve wheat grain quality: breeding for falling number by V. A. Krupnov, O. V. Krupnova

“…They include the doubled haploid (DH) method, allowing homozygotes to be obtained from early hybrid generations; and DNA technologies, which permit genetically reasonable selection of PHSR and FN donors, pyramiding of desirable alleles, and efficient selection of desired offspring using closely linked molecular markers.…”
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Small target detection in UAV view based on improved YOLOv8 algorithm by Xiaoli Zhang, Guocai Zuo

“…Firstly, a bi-directional feature pyramid network (BiFPN) is introduced to enhance the fusion capability of the features. …”
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The Etruscans and the Mediterranean : The City of Cerveteri by Jaimee Uhlenbrock

“…Nor can one ignore the enormous pyramids of coal wasters that can be seen from the large windows of the museum that now have the status of national monuments.…”
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Rice breeding for higher crop productivity (a review) by G. L. Zelensky, O. V. Zelenskaya

“…The hybrid is classified as “super rice”.Modern breeding programs are aimed at producing cultivars of “Green Super Rice” using pedigree methods and backcrossing for introgression of target genes through DNA markers, QTL mapping, pyramiding, and recurrent selection.Russian breeders have traditionally produced rice cultivars adapted to local conditions, with a growing season of no more than 125 days. …”
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