YOLO11. by Junyan Wang (4738518)

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SCI-YOLO11. by Junyan Wang (4738518)

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The network structure of FasterNet--YOLO. by Shiwei Yu (6060308)

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Detection effect diagram of YOLO11. by Jianming Meng (22209039)

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PR diagram of YOLOv8n and BGS-YOLO: (a) YOLOv8n and (b) BGS-YOLO. by Zeyu Liang (4813593)

The architecture of the proposed BGM-YOLO model. by Chenghai Yu (21440036)

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Overall network architecture of FCMI-YOLO. by Junjie Lu (160350)

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Average per capita transfer amounts in different countries. by Na Chen (153323)

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Structure of UAS-YOLO network. by Ju Liang (4277062)

“…These characteristics impose high demands on detection algorithms in terms of fine-grained feature extraction, cross-scale fusion capability, and occlusion resistance.The YOLOv11s model has significant limitations in practical applications: its feature extraction module has a single semantic representation, the traditional feature pyramid network has limited capability to detect multi-scale targets, and it lacks an effective feature compensation mechanism when targets are occluded.To address these issues, we propose a UAV aerial small target detection algorithm named UAS-YOLO (Universal Inverted Bottleneck with Adaptive BiFPN and Separated and Enhancement Attention module YOLO), which incorporates three key optimizations. …”

Comparison of YOLO-DSTD model with other models. by Jianming Meng (22209039)

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Precipitation amount. by Jianzhong Guo (8099471)

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Architecture of GOLD-YOLO. by Xichun Chen (22001791)

“…The network architecture integrates the GOLD-YOLO module, an advanced object detection approach, alongside the updated deformable convolutional networks (DCNv3). …”

Amount of clay in the different plots. by Helena Dvořáčková (12066066)

(a) YOLOv5s; (b) FasterNet-YOLO. by Shiwei Yu (6060308)

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STF-YOLO structure diagram. by Meiling Shi (13148944)

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Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

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Schematic of the CPPDE-YOLO network structure. by Qingtao Zeng (6270308)

“…In the realm of computer vision, the YOLO algorithm has garnered significant attention owing to its excellent performance across various visual tasks. …”

Pseudocode of the CPPDE-YOLO Model Workflow. by Qingtao Zeng (6270308)

“…In the realm of computer vision, the YOLO algorithm has garnered significant attention owing to its excellent performance across various visual tasks. …”

Amounts of fertilizers used in the field experiment treatments. by Jie Wei (264772)

Distribution of average relative amounts of lipid classes. by Spela Kokelj (8356644)

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