Sep 22, 2023 · We propose an AMC-DRG approach that combines logit re-margin and embedding re-margin techniques with a hybrid paradigm for distribution computation and data ...
Sep 26, 2023 · In this work, we propose to unify representation learning and classification learning with robust margin adjustment, which enforces a suitable ...
In this work, we propose to unify representation learning and classification learning with robust margin adjustment, which enforces a suitable margin in logit ...
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Oct 21, 2021 · We have proposed a class distribution-aware adaptive margins approach with cluster embedding for classification of fruit and vegetables.
Dec 20, 2024 · When trained with severely imbalanced data, deep neural networks often struggle to accurately recognize classes with only a few samples.
Oct 1, 2023 · Specifically, AACI leverages class-adaptive adjustment terms to increase the relative margins between head and tail classes, improving the ...
Mar 8, 2024 · SWM generates adaptive margins that are proportional to the ratio of the classifier's weight norm, thus promoting the learning of tail ...
Dec 18, 2024 · Extensive experiments were conducted to validate the effectiveness of PATT in improving long-tailed recognition and OOD detection performance, ...
Lfine adopts adaptive margins according to the specific re- lationship between each class pair in the same cluster to fur- ther optimize locally. Thus, the ...
Jun 28, 2022 · Data in the real world tends to exhibit a long-tailed label distribution, which poses great challenges for the training.