NeMO-Net – Gamifying 3D Labeling of Multi-Modal Reference Datasets to Support Automated Marine Habitat Mapping

Keyphrases

• Modal 100%
• Convolutional Neural Network 100%
• Citizen Science 100%
• Marine Habitat Mapping 100%
• Gamifying 100%
• 3D Labelling 100%
• Video Games 66%
• Training Data 66%
• Coral Reefs 66%
• User Data 66%
• Shallow Marine 66%
• User Classification 66%
• Active Learning Framework 66%
• High-resolution 33%
• In Situ 33%
• Language Ability 33%
• Physical Ability 33%
• Labeling Method 33%
• Coral Reef Conservation 33%
• Game Approach 33%
• Three-dimensional Space 33%
• Mapping Accuracy 33%
• Data Label 33%
• Machine Learning Approach 33%
• Labeled Data 33%
• Science Learning 33%
• Marine Systems 33%
• Segmentation Accuracy 33%
• Remote Sensing Technology 33%
• Satellite Data 33%
• Future Citizens 33%
• Benthic Habitat 33%
• 3D Scene 33%
• Meter Scale 33%
• Marine Ecosystems 33%
• Submillimeter 33%
• Desktop Computer 33%
• Mobile Devices 33%
• Satellite Remote Sensing 33%
• Engaged Communities 33%
• User Training 33%
• Ocean Waves 33%
• Inherent Variability 33%
• Training Networks 33%
• Fluid Lensing 33%
• 3D Photogrammetry 33%
• Coral Reef Mapping 33%
• 3D Classification 33%
• Observation Network 33%
• Multimodal Observations 33%
• Benthic Habitat Mapping 33%
• Classification Game 33%
• Shallow Marine Habitats 33%
• Coral Reef Assessment 33%
• Citizen Science Approach 33%
• User Retention 33%
• Habitat Mapping 33%
• Wave Distortion 33%
• Train Users 33%
• Multimodal Pre-training 33%
• Net Games 33%

Earth and Planetary Sciences

• Coral Reef 100%
• Marine Habitat 100%
• Machine Learning 25%
• Satellite Data 25%
• Aquatic Ecosystem 25%
• Satellite Remote Sensing 25%
• Remote Sensing Technology 25%
• Photogrammetry 25%
• Supercomputer 25%
• Ocean Wave 25%
• Physical Geography 25%
• Language Geography 25%