Multi-level feature fusionSingle-shotFeature pyramidThe main contribution of this paper is an approach for introducing more context to improve the accuracy of the traditional SSD (Single Shot Multibox Detector), which is one of the top object......
Target tracking Siamese Three-level feature fusion Clustering Adaptive rectangular window Sorry, something went wrong. Please try again and make sure cookies are enabledReferences [1] J.K. Aggarwal, L. Xia Human activity recognition from 3D data: a review Pattern Recogn. Lett., 48 (1) (2014)...
Dense construction vehicle detection based on an orientation-aware feature fusion convolutional neural network (Guo and Xu, 2020) vehicle 2020 FSSD (Li and Zhou, 2018)VGG-16 1) used VGG-16 as a feature extraction module, FSSD to detect vehicles2) Proposed an orientation-aware bounding box (OA...
With Carbon Innegra and resin-infusion construction, the Morada 18 poling skiff from Islamorada Boatworks offers a lightweight hull designed with 12 degrees of transom deadrise for a soft ride, and a side-hull feature to knock down spray. The outer chine is soft and sits below the waterline...
respectively. The applied voltage was scanned at a rate of 100 mV s−1. The CV curves were calibrated with the ferrocene/ferrocenium (Fc/Fc+) redox couple as an internal standard. The energy level of Fc/Fc+was taken as −4.8 eV vs vacuum in acetonitrile and −4.86 eV...
This approach aimed to enhance the performance and accuracy of the system by considering both the individual patch-level details and the overall image-level characteristics within the feature vectors utilized by the second-phase shallow NN. 4.5. Flow of the Design Specification Process Figure 12 ...
Deep Feature Fusion: The model integrates global spatial and local features extracted by various branch networks using pooling technology. This multilevel feature fusion enables the model to more effectively integrate and express information from different data scales, thereby greatly enhancing its expressiv...
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1a. All of these terms could not be estimated directly using regression analysis for each person simultaneously because of the scattering and absorption term will be different for each blood glucose level as well as other absorbing and scattering species in different person resulting in infeasibility ...
resulting in the light level arriving on each pixel being much higher than what can be measured by the image sensor. For very bright light sources, the color filters on the image sensor's pixels may also fail to provide sufficient attenuation of dissimilar colors, causing all recorded color ch...