We construct a novel classification model CECT to marry CNN and transformer to capture both multi-local and global features. •. The contribution across ...

Feb 5, 2023 · Different from existing methods, our CECT can capture features at both multi-local and global scales without any sophisticated module design.

Mar 31, 2024 · We construct a novel classification model CECT to marry CNN and transformer to capture both multi-local and global features. Report issue ...

We develop a novel CECT model to capture both multi-local and global features. •. The contribution across feature scales is controllable with ensemble ...

Mar 14, 2023 · Different from conventional CNN- or transformer-based methods, our CECT can capture features at both multi-local and global scales. Besides ...

Ensemble. Preprint. CECT: Controllable Ensemble CNN and Transformer for COVID-19 image classification by capturing both local and global image features.

Title:CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image Classification ... Each block captures features ... features at both multi-local and global ...

Different from existing methods, our CECT can capture features at both multi-local and global scales without any sophisticated module design. Moreover, the ...

CECT: Controllable Ensemble CNN and Transformer for COVID-19 image classification by capturing both local and global image features. Z. Liu, and L. Shen.

A novel classification model CECT is developed by integrating controllable ensemble convolutional neural network and transformer to capture both multi-local ...