AI Research Paper Accepted & Published at CAI 2024

We are excited to announce that our research paper "Fine-grained Visual Classification using Self Assessment Classifier" has been accepted and published at the IEEE Conference on Artificial Intelligence IEEE CAI 2024!

This research led to a major breakthrough in fine-grained visual classification: the Self-Assessment Classifier, a novel approach that tackles the challenge of ambiguity in top-k prediction classes.

Unlike existing classification methods, which focus solely on attention or augmentation mechanisms, our novel approach leverages both image representation and top-k predictions to reassess classification results.

Drawing inspiration from self-supervised learning, we incorporate coarse-grained and fine-grained classifiers to enhance feature discrimination in the backbone network and generate attention maps highlighting informative image regions.

This auxiliary branch can be seamlessly integrated into various architectures, offering a unified solution for improving classification accuracy.

If you are interested in diving deeper into this research work, you can read the research paper accepted at CAI 2024 in the link below:

https://ieeecai.org/2024/wp-content/pdfs/540900a602/540900a602.pdf

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