May 28, 2024 · This loss boosts the discriminative power of neural nets, represented by intra-class compactness and inter-class separability.

May 28, 2024 · In this paper, we introduce a loss function for classification problems using softmax models. This loss is applied directly in the feature space ...

In this work, our main contribution is to derive a new loss for obtaining a large margin classifier for deep networks, where the margin can be based on any lp- ...

Sep 8, 2024 · PDF | In this paper, we introduce a novel discriminative loss function with large margin in the context of Deep Learning.

A novel discriminative loss function with large margin with explicit meaning that boosts the discriminative power of neural nets, represented by intra-class ...

May 29, 2024 · Conclusion. This paper introduces a new loss function called the "Large Margin Discriminative Loss" (LMDL) for training classification models.

This paper presents a novel approach combining convolutional layers (CLs) and large-margin metric learning for training supervised models on small datasets ...

The concept of margin is commonly used in machine learning. A large margin is often taken to indicate a confident classification, and many machine learning.

May 30, 2024 · Large Margin Discriminative Loss for Classification. https://arxiv.org/abs/2405.18499 · 5:06 AM · May 30, 2024.

The large-margin technique has served as the foundation of several successful theoretical and empirical results in multi-label image classification.