Task Analysis

DGECN++: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation via Attention Mechanism
Monocular object 6D pose estimation is a fundamental yet challenging task in computer vision. Recently, deep learning has been proven …
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Feature Selection Based on Intrusive Outliers Rather Than All Instances
Feature selection (FS) has recently attracted considerable attention in many fields. Highly-overlapping classes and skewed …
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Point Cloud Completion Via Skeleton-Detail Transformer
Point cloud shape completion plays a central role in diverse 3D vision and robotics applications. Early methods used to generate global …
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Rank-PointRetrieval: Reranking Point Cloud Retrieval via a Visually Consistent Registration Evaluation
Point cloud-based place recognition is a fundamental part of the localization task, and it can be achieved through a retrieval process. …
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