ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
Data61 · Commonwealth Scientific and Industrial Research Organisation · +3 more institutions
Indexed inarxivcrossref
Abstract
No abstract available for this paper.
Citation impact
1,972
total citations
- FWCI
- 77.78
- Percentile
- 100%
- References
- 110
Citations per year
Authors
4- FIFoivos I. DiakogiannisCorresponding
Data61, Commonwealth Scientific and Industrial Research Organisation
- FWFrançois Waldner
Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food
- PCPeter Caccetta
Data61, Commonwealth Scientific and Industrial Research Organisation
- CWChen Wu
International Centre for Radio Astronomy Research, University of Western Australia
Topics & keywords
Topics
Keywords
- Computer science
- Segmentation
- Artificial intelligence
- Deep learning
- Parsing
- Inference
- Computer vision
- Convolutional neural network
No related works found for this paper.