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An Updated Efficient Galaxy Morphology Classification Model Based on ConvNeXt Encoding with UMAP Dimensionality Reduction

  • Authors: Guanwen Fang, Shiwei Zhu, Jun Xu, Shiying Lu, Chichun Zhou, Yao Dai, Zesen Lin, Xu Kong

Guanwen Fang et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 3.

Framework of ConvNeXt model. The architecture of ConvNeXt employs a Transformer-inspired modular design, which hierarchically stacks standardized modules in a multilevel architecture. Intermodule communication and gradient propagation are facilitated via consistent architectural interfaces, ensuring efficient information flow and stable training dynamics. This design paradigm maintains structural simplicity while enhancing scalability, enabling systematic network expansion via modular composition.

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