Title
Enhancing 3D-2D Representations for Convolution Occupancy Networks
Abstract
•Proposed a Position-Aware Transformer (PAT) architecture that leverages the Adaptive Multi-Scale Position Encoding (AMSPE) to encode both global and local position information for better point feature representations.•Proposed a 3D Correlation-Guided Enhancement (CGE) network to alleviate the ambiguous or noisy representations in the 2D feature projection.•The proposed method outperforms the state-of-the-art methods in both quantitative and qualitative comparisons.
Year
DOI
Venue
2023
10.1016/j.patcog.2022.109097
Pattern Recognition
Keywords
DocType
Volume
Implicit 3D representation,Multi-scale 3D position encoding,3D Correlation-Guided Attentions
Journal
134
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Qing Mao100.34
Rui Li262.08
Yu Zhu38812.65
Jinqiu Sun494.51
Yanning Zhang51613176.32