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Deep Learning Model with GA based Feature Selection and Context Integration
[article]
2022
arXiv
pre-print
Deep learning models have been very successful in computer vision and image processing applications. Since its inception, Many top-performing methods for image segmentation are based on deep CNN models. However, deep CNN models fail to integrate global and local context alongside visual features despite having complex multi-layer architectures. We propose a novel three-layered deep learning model that assiminlate or learns independently global and local contextual information alongside visual
arXiv:2204.06189v1
fatcat:qkyclvhyrzed7lt2cimvylj2ou