Research on Image Classification And Semantic Segmentation Model Based on Convolutional Neural Network
Muqing Li,
Ziyi Zhu,
Ruilin Xu
et al.
Abstract:This paper investigates convolutional neural network (CNN)-based approaches for image classification and semantic segmentation, with a focus on addressing spatial detail loss and multi-scale feature integration issues prevalent in semantic segmentation. The introduced EDNET model tackles these challenges through the incorporation of spatial information branches and the design of efficient feature fusion mechanisms. It further enhances performance via the use of global pooling and boundary refinement modules. E… Show more
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