The algorithm's efficient polynomial complexity allows it to scale with system size, which is essential as quantum computers become more powerful.

Hoang, D., Chen, L. and Nguyen, T. (2016) Sub-OBB Based Object Recognition and Localization Algorithm Using Range Images. Measurement Science and Technology, 28, Article ID 025401.

This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...

SSD ** (Single Shot Multibox Detector) ** is a deep learning model used for object detection. SSD models detect objects in images by splitting the image into a grid and predicting bounding boxes and ...

This project uses SSD MobileNet V3 from TensorFlow’s object detection model zoo, pre-trained on the COCO dataset. SSD (Single Shot Multibox Detector): Efficient object detection algorithm. MobileNetV3 ...

YOLOv7, a novel object detection algorithm proposed by scholars Chien-Yao Wang, Alexey Bochkovskiy, and others in 2022 (Wang et al., 2023), outperforms all known object detection network models in ...

In all these cases, the logical qubits outperformed both physical qubits and logical qubits where no measures were taken to limit the impact of errors, even in algorithms that involved as many as ...