Based on the deep learning theory, an improved single-stage YOLOv3 network target recognition algorithm is proposed, which branches the detection head of the YOLOv3 network and outputs the characteristic prediction thermal map, which makes the test results have better regression and judgment ability,...
Through extensive experimentation, we found that these YOLO models outperform the commonly used two-stage detection algorithm, Faster R-CNN, in fracture detection. Additionally, compound-scaled variants of each YOLO model were compared, with YOLOv8 m demonstrating a highest fracture detection sensitivity...
[45] combined COmponent Detection Algorithm (CODA) with COW, which algorithm includes only information from LC-MS mass traces that contain low noise and background and large number of high abundant peaks from the sample and reference chromatograms. CODA implements a moving window, to detect m/z...
Using the self-assembling manifold (SAM) algorithm24, the 119 stem/germinal cells were further analysed. Three discrete subclusters (clusters 0, 1 and 2) with distinct transcriptional profiles were identified (Figs. 3A, 3B and Supplementary Tables S16, S17). We used Scanpy25 to rank genes ...
are used to construct bird’s eye view (BEV) features for further deeper feature mining by a lite U-shaped network; Secondly, a novel corner-guided auxiliary module (CGAM) with adaptive corner classification algorithm is proposed to incorporate corner supervision signals into the neural network. ...
The algorithm then processed these simulated profiles to calculate the transformation matrix. This capability enabled us to execute automated toolpaths and collect virtual point cloud data. The collected point cloud data served as input for our method, which subsequently determined the sensor pose. As...
Moreover, the developed architecture combines both computer vision applications - detection and instance segmentation 鈥 to provide comprehensive information about weed growth, eliminating the need for multiple algorithm.Nitin RaiXin SunComputers and Electronics in Agriculture...
Implemented as an Excel macro, the algorithm rapidly assembles and surveys exact mass data to provide a list of feasible precursor candidates according to the correlation of the chromatographic peak shape profile and other additional filtering criteria (e.g. neutral losses and isotopes). The macro ...
(HOGs) based on the head–shoulder detection algorithm. First, MID was used to extract the foreground from the active area and the target image. Then, the head–shoulder detection model was employed to detect the shapes and numbers of heads and shoulders in the foreground-extracted region, ...
In this scenario, the pose between the target and the camera can be decomposed using the quadrilateral pose estimation algorithm [30]. 3. Approach The framework under investigation in this paper is primarily composed of three main components. Firstly, we employ multi-view triangulation to construct...