Learning Images Across Scales Using Adversarial Training
Abstract
Supplementary Material
- Download
- 578.13 KB
References
Index Terms
- Learning Images Across Scales Using Adversarial Training
Recommendations
Scale-Invariant Scale-Channel Networks: Deep Networks That Generalise to Previously Unseen Scales
AbstractThe ability to handle large scale variations is crucial for many real-world visual tasks. A straightforward approach for handling scale in a deep network is to process an image at several scales simultaneously in a set of scale channels. Scale ...
Temporal Scale Selection in Time-Causal Scale Space
When designing and developing scale selection mechanisms for generating hypotheses about characteristic scales in signals, it is essential that the selected scale levels reflect the extent of the underlying structures in the signal. This paper presents ...
Local scale optimization of geomorphometric land surface parameters using scale-standardized Gaussian scale-space
AbstractIt is long recognized that the processes that define the shape of the landscape operate at specific scales, and that mismatch between the scale of analysis and the scale of the process leads to erroneous results. A priori knowledge is ...
Highlights- Spatially heterogeneous scale representation provides novel contextual information for multiscale terrain analyses.
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 153Total Downloads
- Downloads (Last 12 months)153
- Downloads (Last 6 weeks)82
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in