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12 Jun 2024 · It is noteworthy that YOLOv8 retains the Cross-Stage Partial Network (CSP) concept, Path Aggregation Network (PANet), and Spatial Pyramid Pooling Fast (SPPF) module from YOLOv5 while integrating many excellent techniques from the real-time object detection field.
15 Jun 2024 · We propose a novel lightweight LBF foundation module, significantly reducing the number of model network parameters. The SPPF module is introduced to improve the head network, which increases the feature extraction capability of the backbone network.
10 Jun 2024 · To address the challenges posed by the substantial model size and computational complexity in current algorithms for detecting surface defects in steel strips, this paper introduces SS-YOLO ...
16 Jun 2024 · The YOLOv8 algorithm’s complex feature extraction network, primarily composed of CBS, C2f, and SPPF modules, leads to a significant number of parameters and relatively slower detection speed. This presents a notable obstacle in applications requiring lightweight yet high-precision underwater target detection.
25 Jun 2024 · The DNCA-YOLO backbone network comprises five CBS modules, two C2F modules, two MBCADC2F modules, and one SPPF module. The structures of modules such as CBS, C2F, and SPPF in the MBCADC2F module are identical to those of the corresponding modules in the YOLOv8s baseline model.
25 Jun 2024 · La SPPF est une société de production phonographique qui représente les producteurs indépendants de musique en France. Découvrez les dates des Assemblées Générales 2024, les aides à la création, le répertoire et l'espace adhérent.
4 hari yang lalu · Within the YOLOv8 network, the SPPF module serves to integrate local and global features. MaxPooling is employed within SPPF to downsample feature maps and integrate feature information . However, the maximum pooling layer diminishes the resolution of feature maps, potentially leading to the loss of important features of SAR images.
