From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search

12/16/2022

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by   Hadar Shavit, et al.

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In this paper, we present a modified Xception architecture, the NEXcepTion network. Our network has significantly better performance than the original Xception, achieving top-1 accuracy of 81.5 (an improvement of 2.5 our model, NEXcepTion-TP, reaches 81.8 (82.1 applying improved training procedures and new design decisions combined with an application of Neural Architecture Search (NAS) on a smaller dataset. These findings call for revisiting older architectures and reassessing their potential when combined with the latest enhancements.