Accuracy (ADD): 97.35%Mean ADD: 97.35
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6D Pose Estimation using RGB
6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.
<span style="color:grey; opacity: 0.6">( Image credit: Segmentation-driven 6D Object Pose Estimation )</span>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
6개논문
A3DP: 20.21
Mean Recall: 36.8
Mean AUC: 79.88Mean ADD: 66.59
Recall (VSD): 29.5
Mean ADD: 70.1Mean ADD-S: 74.9Mean ADI: 87.1
Accuracy (ADD): 21.3%Mean ADD: 53.7Mean ADD-S: 75.9
Mean AUC: 73.4%
MAP: 0.48
Accuracy (ADD): 97.37%Mean ADD: 97.37
Accuracy (ADD): 39.0%Mean ADD: 39
MAP: 0.38
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