Cover Image

Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wåhlstrand, Victor, Alvén, Jennifer, Häggström, Ida
Format:	Preprint
Published:	2026
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

Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification
by: Skärström, Victor Wåhlstrand, et al.
Published: (2024)

Medical Image Understanding Improves Survival Prediction via Visual Instruction Tuning
by: Liu, Xixi, et al.
Published: (2026)

Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified Flow
by: Petersen, Richard, et al.
Published: (2026)

Trexplorer Super: Topologically Correct Centerline Tree Tracking of Tubular Objects in CT Volumes
by: Naeem, Roman, et al.
Published: (2025)

Zero-shot Object Counting with Good Exemplars
by: Zhu, Huilin, et al.
Published: (2024)

DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
by: Monga, Munish, et al.
Published: (2025)

EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
by: Harit, Anoushka, et al.
Published: (2025)

RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines
by: Naeem, Roman, et al.
Published: (2025)

Auto-Labeling Data for Object Detection
by: Griffin, Brent A., et al.
Published: (2025)

Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)

ReEdit: Multimodal Exemplar-Based Image Editing with Diffusion Models
by: Srivastava, Ashutosh, et al.
Published: (2024)

Synergizing Discriminative Exemplars and Self-Refined Experience for MLLM-based In-Context Learning in Medical Diagnosis
by: Zhao, Wenkai, et al.
Published: (2026)

Few Exemplar-Based General Medical Image Segmentation via Domain-Aware Selective Adaptation
by: Xu, Chen, et al.
Published: (2024)

LEOD: Label-Efficient Object Detection for Event Cameras
by: Wu, Ziyi, et al.
Published: (2023)

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
by: Deshpande, Tanvi, et al.
Published: (2024)

Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
by: En, Qing, et al.
Published: (2024)

Beyond Flat Unknown Labels in Open-World Object Detection
by: Zhang, Yuchen, et al.
Published: (2025)

Similarity Distance-Based Label Assignment for Tiny Object Detection
by: Shi, Shuohao, et al.
Published: (2024)

Exemplar Masking for Multimodal Incremental Learning
by: Lee, Yi-Lun, et al.
Published: (2024)

Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization
by: Kosugi, Satoshi
Published: (2025)

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
by: Guo, Erjian, et al.
Published: (2025)

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
by: Bhat, Sheethal, et al.
Published: (2025)

Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
by: Bhaskar, Uday, et al.
Published: (2025)

Object Style Diffusion for Generalized Object Detection in Urban Scene
by: Li, Hao, et al.
Published: (2024)

RFAssigner: A Generic Label Assignment Strategy for Dense Object Detection
by: Guan, Ziqian, et al.
Published: (2026)

Robust Tiny Object Detection in Aerial Images amidst Label Noise
by: Zhu, Haoran, et al.
Published: (2024)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
by: Kennerley, Mikhail, et al.
Published: (2025)

Online Pseudo-Label Unified Object Detection for Multiple Datasets Training
by: Tang, XiaoJun, et al.
Published: (2024)

De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
by: Fu, Zehua, et al.
Published: (2025)

Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation
by: Liu, Jianfei, et al.
Published: (2024)

Learning from Exemplars for Interactive Image Segmentation
by: Li, Kun, et al.
Published: (2024)

LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
by: Kim, Sanmin, et al.
Published: (2024)

Detailed Geometry and Appearance from Opportunistic Motion
by: Hirai, Ryosuke, et al.
Published: (2026)

Improving Token-based Object Detection with Video
by: Singh, Abhineet, et al.
Published: (2025)

EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
by: Lee, Eungbean, et al.
Published: (2024)

MonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label
by: Jung, Junyoung, et al.
Published: (2026)

Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
by: Kotthapalli, Manikanta, et al.
Published: (2025)

Purifying, Labeling, and Utilizing: A High-Quality Pipeline for Small Object Detection
by: Wang, Siwei, et al.
Published: (2025)

Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection
by: Lee, Soyul, et al.
Published: (2025)

CoT-PL: Chain-of-Thought Pseudo-Labeling for Open-Vocabulary Object Detection
by: Choi, Hojun, et al.
Published: (2025)