Cover Image

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shuhan, Lin, Yi, Chen, Hao, Cheng, Kwang-Ting
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification
by: Lin, Yi, et al.
Published: (2024)

Aligning Medical Images with General Knowledge from Large Language Models
by: Fang, Xiao, et al.
Published: (2024)

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection
by: Gu, Yi, et al.
Published: (2024)

Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
by: Kong, Jingyu, et al.
Published: (2024)

Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model
by: Zhu, Yimin, et al.
Published: (2025)

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints
by: Li, Shuhan, et al.
Published: (2023)

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels
by: Lin, Yi, et al.
Published: (2024)

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2023)

Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion
by: Zhang, Dong, et al.
Published: (2025)

Semantic Image Synthesis via Diffusion Models
by: Zhou, Wengang, et al.
Published: (2022)

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
by: Wang, Zhicai, et al.
Published: (2024)

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
by: Lin, Yi, et al.
Published: (2025)

Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
by: Li, Lin, et al.
Published: (2025)

MedIAnomaly: A comparative study of anomaly detection in medical images
by: Cai, Yu, et al.
Published: (2024)

GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models
by: Han, Ning, et al.
Published: (2025)

Class-wise Flooding Regularization for Imbalanced Image Classification
by: Aizawa, Hiroaki, et al.
Published: (2025)

Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
by: Cai, Yu, et al.
Published: (2024)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
by: Liu, An-Lun, et al.
Published: (2025)

Unpaired Deblurring via Decoupled Diffusion Model
by: Cheng, Junhao, et al.
Published: (2025)

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion
by: Wang, Hao, et al.
Published: (2024)

Guided Image Synthesis via Initial Image Editing in Diffusion Model
by: Mao, Jiafeng, et al.
Published: (2023)

Landscape-Awareness for Geometric View Diffusion Model
by: Chen, Yan-Ting, et al.
Published: (2026)

Enhanced Convolutional Neural Networks for Improved Image Classification
by: Yang, Xiaoran, et al.
Published: (2025)

Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification
by: Lin, Sylvey, et al.
Published: (2025)

Advancing Image Classification with Discrete Diffusion Classification Modeling
by: Belhasin, Omer, et al.
Published: (2025)

Unbiased Image Synthesis via Manifold Guidance in Diffusion Models
by: Su, Xingzhe, et al.
Published: (2023)

A Study of Finetuning Video Transformers for Multi-view Geometry Tasks
by: Wu, Huimin, et al.
Published: (2025)

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
by: Chen, Xinyan, et al.
Published: (2023)

MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
by: Zhao, Jianwei, et al.
Published: (2025)

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
by: Jin, Cheng, et al.
Published: (2024)

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
by: Khwaja, Emaad, et al.
Published: (2024)

Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification
by: Ju, Rui-Yang, et al.
Published: (2022)

Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification
by: Li, Sirui, et al.
Published: (2024)

Online Iterative Self-Alignment for Radiology Report Generation
by: Xiao, Ting, et al.
Published: (2025)

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
by: Jiang, Xixi, et al.
Published: (2024)

Non-parametric regularization for class imbalance federated medical image classification
by: Wicaksana, Jeffry, et al.
Published: (2024)

IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks
by: Huang, Zitong, et al.
Published: (2024)

All-around Neural Collapse for Imbalanced Classification
by: Zhang, Enhao, et al.
Published: (2024)

Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model
by: Wen, Yuanbo, et al.
Published: (2024)