CNet: A Novel Seabed Coral Reef Image Segmentation Approach Based on Deep Learning
Author:
Affiliation:
1. WHU
2. ETH Zurich,WHU
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10495586/10495587/10495625.pdf?arnumber=10495625
Reference36 articles.
1. ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation
2. Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
3. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
4. ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
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