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2 hari yang lalu · The bottleneck is a set of convolutional zones with a shortcut. Spatial Pyramid Pooling (SPP) is a pooling strategy that allows convolutional neural networks (CNNs) to handle images of varying sizes without losing or distorting the image. The SPPF block in YOLOv8 stands for spatial pyramid pooling fast, which is a variant of SPP with a faster pace.
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.
12 jam yang lalu · Mengni Wang from Jiangsu University proposed a tea bud recognition method based on an improved YOLOv5s algorithm, replacing the SPPF structure in the Backbone with ASPP and introducing the CBAM attention mechanism in the Neck to improve the focus on small targets, resulting in a 4.4%, 0.5%, and 4% increase in accuracy, recall, and mean average ...
3 hari yang lalu · SPPF, which stacks 3 identical max-pooling layers with convolution kernel size 5 \(\times\) 5 in series, further increases the receptive field through continuous maximum pooling, and solves the ...
3 hari yang lalu · In response to the challenges faced by existing safety helmet detection algorithms when applied to complex construction site scenarios, such as poor accuracy, large number of parameters, large amount of computation and large model size, this paper proposes a lightweight safety helmet detection algorithm based on YOLOv5, which achieves a balance between lightweight and accuracy. First, the ...
4 hari yang lalu · Due to the existence of cotton weeds in a complex cotton field environment with many different species, dense distribution, partial occlusion, and small target phenomena, the use of the YOLO algorithm is prone to problems such as low detection accuracy, serious misdetection, etc. In this study, we propose a YOLOv8-DMAS model for the detection of cotton weeds in complex environments based on ...
4 hari yang lalu · Hadi Khodaei Jooshin, Mahdi Nangir, Hadi Seyedarabi: Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules.
