Command Palette
Search for a command to run...
5 months ago
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen Sachith Seneviratne Xinye Wanyan Michael Kirley
Abstract
Code Repositories
charmonyshen/firerisk
Official
Mentioned in GitHub
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| remote-sensing-image-classification-on | ResNet-50 | Accuracy (%): 63.20 |
| remote-sensing-image-classification-on | DINO (ViT-B/16) | Accuracy (%): 63.36 |
| remote-sensing-image-classification-on | ViT-B/16 | Accuracy (%): 63.31 |
| remote-sensing-image-classification-on | MAE (ViT-B/16) | Accuracy (%): 65.29 |
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.
AI Co-coding
Ready-to-use GPUs
Best Pricing
Hyper Newsletters
Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp