Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"IPAS-Net: A deep-learning model for generating high-fidelity shoeprints ..."

Muhammad Hassan et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.JKSUCI.2022.03.024

access: closed

type: Journal Article

metadata version: 2023-08-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jksucis/HassanWPWLZX22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jksucis/HassanWPWLZX22
Muhammad Hassan, Yan Wang, Wei Pang, Di Wang, Daixi Li, You Zhou, Dong Xu:
IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2743-2757 (2022)

a service of

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.