Knowledge-Driven Transfer Learning for Tree Species Recognition
Author:
Affiliation:
1. Institute of High Performance Computing, A*STAR,Computing and Intelligence Department,Singapore
2. Institute of High Performance Computing, A*STAR,Fluid Dynamics Department,Singapore
Funder
National Research Foundation, Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004314.pdf?arnumber=10004314
Reference29 articles.
1. Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
2. An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed Forest
3. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
4. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
5. ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
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