Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
102 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge (2306.04738v1)

Published 7 Jun 2023 in cs.CV and cs.AI

Abstract: The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosystems by leveraging the vast amount of remote sensing data that is continuously being collected. The primary objective of this workshop is to bring together the Earth and environmental science communities as well as the multimodal representation learning communities to explore new ways of harnessing technological advancements in support of environmental monitoring. The MultiEarth Workshop also seeks to provide a common benchmark for processing multimodal remote sensing information by organizing public challenges focused on monitoring the Amazon rainforest. These challenges include estimating deforestation, detecting forest fires, translating synthetic aperture radar (SAR) images to the visible domain, and projecting environmental trends. This paper presents the challenge guidelines, datasets, and evaluation metrics. Our challenge website is available at https://sites.google.com/view/rainforest-challenge/multiearth-2023.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (9)
  1. Miriam Cha (13 papers)
  2. Gregory Angelides (3 papers)
  3. Mark Hamilton (20 papers)
  4. Andy Soszynski (1 paper)
  5. Brandon Swenson (4 papers)
  6. Nathaniel Maidel (2 papers)
  7. Phillip Isola (84 papers)
  8. Taylor Perron (4 papers)
  9. Bill Freeman (4 papers)
Citations (10)