If the video is a presentation or demo of the DR-CCTNet model (used to identify diabetic retinopathy), your piece should highlight its technical efficiency:

: Reached 90.17% test accuracy in classifying diabetic retinopathy.

: A low-complexity, efficient deep learning framework.

: Uses a Compact Convolutional Transformer (CCT) to reduce computation time while processing low-resolution images.

The "01" likely indicates it is the first in a series of video segments, possibly demonstrating a model's performance, a data augmentation process, or a presentation of research findings.

Inam15 01 Mp4 -

If the video is a presentation or demo of the DR-CCTNet model (used to identify diabetic retinopathy), your piece should highlight its technical efficiency:

: Reached 90.17% test accuracy in classifying diabetic retinopathy. INAM15 01 mp4

: A low-complexity, efficient deep learning framework. If the video is a presentation or demo

: Uses a Compact Convolutional Transformer (CCT) to reduce computation time while processing low-resolution images. possibly demonstrating a model's performance

The "01" likely indicates it is the first in a series of video segments, possibly demonstrating a model's performance, a data augmentation process, or a presentation of research findings.