Leveraging Diffusion Models for Improved Long-tailed Image Classification

The authors propose a novel framework, Latent-based Diffusion Model for Long-tailed Recognition (LDMLR), that leverages the powerful generative capabilities of diffusion models to augment feature representations and address the challenge of long-tailed recognition in computer vision.