The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...

BATON ROUGE, La. – As the LSU women’s basketball team crossed the century mark on the score board, the fifth-ranked Tigers made Southeastern Conference history with a sixth-straight 100-point output ...

Consistent dataset loading, augmentation, and sampling-and-grouping modules Shared training, evaluation, and logging utilities Plug-and-play support for different model architectures (PointNetLite, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

ABSTRACT: With the development of unmanned aerial vehicle (UAV) LiDAR technology, large-scale high-precision point cloud data is gradually playing an important role in the classification and ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Introduction: The development of automated high-throughput plant phenotyping systems with non-destructive characteristics fundamentally relies on achieving accurate segmentation of botanical ...

Abstract: This paper addresses the challenging task of semantic segmentation of 3D scenes, particularly in indoor environments. Many existing 3D point cloud segmentation methods face significant ...

Objective: This study aimed to evaluate the effectiveness of deep-learning models using transrectal ultrasound (TRUS) video clips in predicting prostate cancer. Methods: We manually segmented TRUS ...