在FPN中,相同尺度的特征张量属于一个网络阶段,特征张量的空间步长从前到后逐渐增大。 2.2 Pyramid pathways(金字塔通道) 骨干网越深,越接近网络的分类层,语义层次越高,但分辨率越低,而早期阶段的特征与语义的相关性较弱,但由于分辨率高,定位精度高。金字塔路径的目标是建立具有强语义信息的精细分辨率特征。 Multiple ...
在目标检测领域，一种新型的特征金字塔网络——FPG（Feature Pyramid Grids）以其卓越的性能超越了FPN、NAS-FPN等经典架构。由商汤、港中文大学（陈恺、林达华）、南洋理工大学和FAIR团队合作研发，该技术已在CVPR上发布，展现了其在复杂性控制和性能提升方面的优势。FPG的设计核心在于构建一个多路径、深度...
1. 设计核心： FPG的设计核心在于构建一个多路径、深度金字塔的网格结构。 每个路径自下而上独立发展，类似于主干通路，但通过多方向的横向连接将不同尺度的特征进行融合。2. 主要特点： 主干通道：借鉴了主流分类网络的多层次特征表示，用于提取基础特征。 金字塔通道：通过平行构建来增强网络的分辨率和定...
Feature pyramid networkDiffusion modelResearch on identifying faulty insulators on distribution grids is a primary concern in the research community as it plays a crucial role in maintaining and servicing the electricity supply infrastructure for the public. In this paper, we propose the FGS model to...
YOLO (Redmon et al., 2016) represents a typical detector of single-stage models, which divides the feature map into S×S grids and predicts the location, class, and confidence score of objects within each grid. Confidence score indicates the likelihood that a proposal contains an object. Subse...
OverFeat [47] is a first one-stage object detector that applies a CNN as a sliding window detector on an image pyramid. More recently, YOLO [41] and SSD [33] were proposed for the real-time processing. These approaches divide an image into multiple grids and predict class confidence level...
The grid at the center of the bounding box was found, and the other grids were penalized by the loss function. The output of the improved YOLOV3 network is the tensor of 13*13*125. Therefore, the target tensor of the loss function is of the size 13*13*125. The number 125 comes ...
The feature information used for detecting small and medium-sized objects are intertwined at the lower level (P2) of the FPN. Though different levels of the pyramid contain size-specific object information, current feature fusion methods usually neglect high-resolution shallow layers, resulting in dif...
Feature Pyramid Grids (FPG) a deep multi-pathway feature pyramid network that represents the feature scale-space as a regular grid of parallel pathways fused by multi-directional lateral connections between them. FPG enriches the hierarchical feature representation built internally in the backbone pathway...
In turn, here, we create a pyramid by splitting the image in an increasing number of grids, used to extract the finer shape information through the Zernike responses. PZOT and the methods proposed in [4] and [12] modify a 2D spatial descrip- tor to incorporate temporal information. This ...