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Found 4 papers, 1 papers with code
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification
The new approach can automatically evolve variable-length models using many important operators from both image and classification domains.
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
This survey aims to provide a better understanding of evolutionary computer vision (ECV) by discussing the contributions of different approaches and exploring how and why EC is used for CV and image analysis.
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning
Therefore, this paper develops a multitask GP approach to image feature learning for classification with limited training data.
An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification
An ensemble consists of multiple learners and can achieve a better generalisation performance than a single learner.
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