DeepAI AI Chat
Log In Sign Up

Progressive Class-based Expansion Learning For Image Classification

06/28/2021
by   Hui Wang, et al.
0

In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes. Class-based expansion learning takes a bottom-up growing strategy in a class-based expansion optimization fashion, which pays more attention to the quality of learning the fine-grained classification boundaries for the preferentially selected classes. Besides, we develop a class confusion criterion to select the confusing class preferentially for training. In this way, the classification boundaries of the confusing classes are frequently stimulated, resulting in a fine-grained form. Experimental results demonstrate the effectiveness of the proposed scheme on several benchmarks.

READ FULL TEXT

page 1

page 2

page 3

page 4

12/10/2014

Object-centric Sampling for Fine-grained Image Classification

This paper proposes to go beyond the state-of-the-art deep convolutional...
02/04/2021

Mask guided attention for fine-grained patchy image classification

In this work, we present a novel mask guided attention (MGA) method for ...
02/13/2018

A Novel Scheme to Improve Lossless Image Coders by Explicit Description of Generative Model Classes

In this study, we propose a novel scheme for systematic improvement of l...
09/10/2020

MedMeshCNN – Enabling MeshCNN for Medical Surface Models

Background and objective: MeshCNN is a recently proposed Deep Learning f...
07/18/2022

Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation

Traditional fine-grained image classification typically relies on large-...
08/27/2020

A Federated Approach for Fine-Grained Classification of Fashion Apparel

As online retail services proliferate and are pervasive in modern lives,...
09/24/2021

Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion

Bootstrapping has become the mainstream method for entity set expansion....