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Abstract: The existing object detection algorithms have the problems of poor detection performance on the piping and instrumentation diagram(P&ID) symbol dataset. Therefore, this paper proposes a ...
something that’s not feasible with conventional PIR detectors that require motion for object detection. The company further adds that PIR sensors need a Fresnel lens to sense moving objects, but the ...
Object detection algorithms based on regression do not need to generate ... Figure 1. Network structure diagram of triplet attention (Song et al., 2018). The triplet attention module consists of three ...
Figure 3 is the effect diagram after the separation of light and dark scenes. The algorithm separates ... step of traditional target detection is to extract features, such as the LBP feature and HOG ...
Orbital Insight, the leader in geospatial intelligence, today announced the launch of multiclass object detection algorithms within its GO platform. Multiclass object detection uses advanced ...
Abstract: The strong demand for autonomous driving in the industry has promoted researches on 3D object detection algorithms. However, the vast majority of algorithms use a single-frame detection ...
RTmaps is a highly-optimized component-based development and execution software tool ideal to simulate and control data flow, such as video streams. RTMaps full ...
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