Update README.md
Browse files
README.md
CHANGED
@@ -13,14 +13,11 @@ pipeline_tag: image-classification
|
|
13 |
|
14 |
# V-BeachNet
|
15 |
|
16 |
-
This repository contains the official PyTorch implementation for the paper "A New Framework for Quantifying Alongshore Variability of Swash Motion Using Fully Convolutional Networks."
|
17 |
|
18 |
**V-BeachNet paper:**
|
19 |
Salatin, R., Chen, Q., Raubenheimer, B., Elgar, S., Gorrell, L., & Li, X. (2024). A New Framework for Quantifying Alongshore Variability of Swash Motion Using Fully Convolutional Networks. Coastal Engineering, 104542.
|
20 |
|
21 |
-
**V-FloodNet paper:**
|
22 |
-
Liang, Y., Li, X., Tsai, B., Chen, Q., & Jafari, N. (2023). V-FloodNet: A video segmentation system for urban flood detection and quantification. Environmental Modelling & Software, 160, 105586.
|
23 |
-
|
24 |
## Prerequisites
|
25 |
|
26 |
This code is tested on a newly installed Ubuntu 24.04 with default version of Python and Nvidia GPU.
|
|
|
13 |
|
14 |
# V-BeachNet
|
15 |
|
16 |
+
This repository contains the official PyTorch implementation for the paper "A New Framework for Quantifying Alongshore Variability of Swash Motion Using Fully Convolutional Networks."
|
17 |
|
18 |
**V-BeachNet paper:**
|
19 |
Salatin, R., Chen, Q., Raubenheimer, B., Elgar, S., Gorrell, L., & Li, X. (2024). A New Framework for Quantifying Alongshore Variability of Swash Motion Using Fully Convolutional Networks. Coastal Engineering, 104542.
|
20 |
|
|
|
|
|
|
|
21 |
## Prerequisites
|
22 |
|
23 |
This code is tested on a newly installed Ubuntu 24.04 with default version of Python and Nvidia GPU.
|