However, there are still two problems in the latest methods of driving fatigue detection: one is that a single information cannot precisely reflect the actual state of the driver in different fatigue phases, an
In this paper, based on Faster R-CNN, an automatic defect detector denoted as MSC-DNet is proposed to detect the strip steel surface defect with the various sizes and complex background interference. In the framework, the CEM that embedded a PADC and a FESM is proposed to extract the com...
Secondly, the CECA attention module in the neck improves the ability of the model to detect small defects by enhancing the local interaction between channels. Third, the Dy-Up module is used to improve image resolution and prevent the loss of detailed information during the detection process. ...
Meanwhile, the results on the CARPK dataset indicate that the WFFA-SSD can effectively detect small objects on the CARPK dataset. In future works, we will further improve the proposed blocks, and embed these blocks into more advanced baseline algorithms to achieve superior detection performance for...
used the Support Vector Machine (SVM) algorithm to detect faces and proposed a decomposition strategy to guarantee the optimality of SENResNet face detection model Video-based face detection and tracking technology has been widely applied in the fields of video surveillance, safe driving, human–...
Additionally, as shown in Figure 5b,c, our tiling framework can effectively detect objects in dense clusters with a low rate of missed detections, which can be attributed to the proposed crystallization copy-paste augmentation. Nevertheless, there inevitably exist some predictions of misclassification ...
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3'-ends. Positions indicated over and bellow of the alignment are first mismatched base,i.e.,polymorphic edge. The bidirectional alignment clearly indicates two bases (GT) deletion in the short read. The bidirectional can detect not only deletion but also SNP, insertion, inversion and ...
This reaffirms the model’s exceptional capability to detect multi-scale and multi-category tomato disease objects. Model detection performance The proposed TomatoDet shows a significant improvement regarding the accuracy of disease detection in tomatoes compared to the original model, as depicted in ...
FDRnet significantly outperformed other methods in terms of the ability to detect target genes and modular structures, as quantified byFandFsubscores (Fig.2a,b). Here, theFscore is computed as the harmonic mean of the precision and recall of a method in detecting target genes, and theFsub...