"DO-SA&R: Distant Object Augmented Set Abstraction and Regression for ..."

Xuan He et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TIP.2023.3326394

access: closed

type: Journal Article

metadata version: 2025-02-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tip/HeWLNYL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tip/HeWLNYL23
Xuan He, Zian Wang, Jiacheng Lin, Ke Nai, Jin Yuan, Zhiyong Li:
DO-SA&R: Distant Object Augmented Set Abstraction and Regression for Point-Based 3D Object Detection. IEEE Trans. Image Process. 32: 5852-5864 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.