Semantic Segmentation of Underwater Environments Using DeepLabv3+ and Transfer Learning

Keyphrases

• Transfer Learning 100%
• Semantic Segmentation 100%
• Underwater Environment 100%
• DeepLabv3+ 100%
• Underwater Scene 50%
• Deep Convolutional Neural Network (deep CNN) 25%
• World Wide Web 25%
• Computer Vision 25%
• Network Architecture 25%
• Learning-based 25%
• Lighting Conditions 25%
• Different Lighting 25%
• Scene Analysis 25%
• Eight Class 25%
• Labeled Data 25%
• Vision Task 25%
• Imbalanced Data 25%
• ImageNet 25%
• Tagged Data 25%
• Class Imbalance 25%
• Segmentation Approach 25%

Computer Science

• Image Segmentation 100%
• Transfer Learning 100%
• Deep Convolutional Neural Networks 25%
• Experimental Result 25%
• Good Performance 25%
• Lighting Condition 25%
• Network Architecture 25%
• Computer Vision 25%
• Segmentation Approach 25%
• Scene Analysis 25%