Dec 4, 2023 · This paper aims to investigate the capability of traditional CNN networks compared to specially designed fine-grained CNN classifiers. We ...

Mar 24, 2020 · In this work, we investigate the performance of the landmark general CNN classifiers, which presented top-notch results on large scale classification datasets.

Dec 1, 2023 · Fine-grained classifiers collect information about inter-class variations to best use the underlying minute and subtle differences.

This work investigates the performance of landmark traditional CNN classifiers, presenting top-notch results on large-scale classification datasets and ...

(i) Do the traditional CNN classifiers achieve comparable results to fine-grained classifiers? (ii) Do traditional CNN classifiers require any specific ...

Fine-grained classifiers collect information about inter-class variations to best use the underlying minute and subtle differences.

In this work, we investigate the performance of the landmark general CNN classifiers, which presented top-notch results on large scale classification datasets, ...

Mar 25, 2020 · In this paper, we pose two specific questions: (i) Do the general CNN classifiers achieve comparable results to fine-grained classifiers? (ii) ...

Mar 24, 2020 · In this work, we investigate the performance of the landmark general CNN classifiers, which presented top-notch results on large scale ...

This paper introduces a novel and robust VMMR model that can address the above-mentioned issues with accuracy comparable to state-of-the-art methods and is ...