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 ...
People also ask
What is the difference between CNN and transformer in image classification?
What transformer is used for image classification?
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 ...