Semantic segmentation of underwater imagery: Dataset and benchmark

Keyphrases

• Semantic Segmentation 100%
• Underwater Imagery 100%
• Underwater Robot 66%
• Diver 33%
• Vertebrates 33%
• Aquatic Plants 33%
• Benchmark Dataset 33%
• Seafloor 33%
• Human Participants 33%
• Visually Guided 33%
• Performance Metrics 33%
• Human-robot Collaboration 33%
• Competitive Performance 33%
• Visual Servoing 33%
• Computational Efficiency 33%
• Performance Efficiency 33%
• Segmentation Approach 33%
• Collaborative Experiment 33%
• Robot Vision 33%
• Wreck 33%
• Exploration Robot 33%
• Scene Understanding 33%
• Saliency Prediction 33%
• Benchmark Evaluation 33%
• Deep Residual Model 33%
• Fully Convolutional 33%
• Reef Invertebrates 33%
• Object Categories 33%
• Large-scale Dataset 33%

Computer Science

• Image Segmentation 100%
• Robot 66%
• underwater robot 66%
• Annotation 33%
• Performance Metric 33%
• Use Case 33%
• Object Category 33%
• Segmentation Approach 33%
• Human Participant 33%
• Scene Understanding 33%
• Computational Efficiency 33%
• Evaluation Benchmark 33%