What algorithms used for object detection in augmented reality in last five years?
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In the last five years, various algorithms have been used for object detection in augmented reality (AR). One popular algorithm is the detection transformer (DETR) based on a transformer architecture, which offers simplicity and ease of implementation . Another widely used algorithm is the object detection method based on convolutional neural networks (CNNs), which has shown good results in terms of detection accuracy and speed . Additionally, deep learning-based object detection and instance segmentation using convolutional neural networks have been proposed to improve the performance of complex tasks in AR systems . These algorithms have contributed to advancements in object detection in AR applications, addressing challenges such as computational efficiency, accuracy, and scalability .
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18 May 2023 | The provided paper does not mention the specific algorithms used for object detection in augmented reality in the last five years. |
| The paper does not specifically mention the algorithms used for object detection in augmented reality in the last five years. The paper focuses on the use of the detection transformer (DETR) model for object detection and its integration into an augmented reality mobile application. |
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