Cover Image

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yihang, He, Lianghua, Wen, Ying, Yang, Longzhen, Chen, Hongzhou
Format:	Preprint
Published:	2025
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

Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
by: Yang, Longzhen, et al.
Published: (2025)

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model
by: Liu, Yihang, et al.
Published: (2026)

Visual Neural Decoding via Improved Visual-EEG Semantic Consistency
by: Chen, Hongzhou, et al.
Published: (2024)

ProtoSolo: Interpretable Image Classification via Single-Prototype Activation
by: Peng, Yitao, et al.
Published: (2025)

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models
by: Wang, Yahong, et al.
Published: (2026)

When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs
by: Wang, Yahong, et al.
Published: (2025)

Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach
by: Javidani, Ali, et al.
Published: (2023)

Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes
by: Zhang, Tianwei, et al.
Published: (2024)

Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs
by: Zhou, Ziyu, et al.
Published: (2025)

Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation
by: Chen, Zhiquan, et al.
Published: (2026)

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
by: Yue, Yang, et al.
Published: (2025)

Self-Supervised Learning of Plant Image Representations
by: Moummad, Ilyass, et al.
Published: (2026)

Self-Supervised Pretraining for Fine-Grained Plankton Recognition
by: Kareinen, Joona, et al.
Published: (2025)

PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
by: Li, ShuaiHeng, et al.
Published: (2024)

A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs
by: Goyal, Aryan, et al.
Published: (2026)

Self-Supervised Representation Learning with Meta Comprehensive Regularization
by: Guo, Huijie, et al.
Published: (2024)

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning
by: Li, Weijia, et al.
Published: (2024)

LEGO: Self-Supervised Representation Learning for Scene Text Images
by: Ren, Yujin, et al.
Published: (2024)

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
by: Pei, Baoqi, et al.
Published: (2025)

Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
by: Wang, Qizao, et al.
Published: (2023)

Enhancing Representations through Heterogeneous Self-Supervised Learning
by: Li, Zhong-Yu, et al.
Published: (2023)

ToolFG: Towards Well-Grounded Fine-Grained Image Classification
by: Xue, Yu, et al.
Published: (2026)

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
by: Wang, Zihu, et al.
Published: (2024)

Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
by: Pourmirzaei, Mahdi, et al.
Published: (2021)

Fine-Grained Zero-Shot Learning with Attribute-Centric Representations
by: Chen, Zhi, et al.
Published: (2025)

A Generative Framework for Self-Supervised Facial Representation Learning
by: He, Ruian, et al.
Published: (2023)

Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
by: Zhu, Chunzheng, et al.
Published: (2026)

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
by: Tian, Bowen, et al.
Published: (2024)

On the Discriminability of Self-Supervised Representation Learning
by: Song, Zeen, et al.
Published: (2024)

Geometry-Guided Self-Supervision for Ultra-Fine-Grained Recognition with Limited Data
by: Wang, Shijie, et al.
Published: (2026)

LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
by: Shi, Jialu, et al.
Published: (2024)

BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning
by: Singh, Prajwal, et al.
Published: (2024)

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
by: Chen, Wenting, et al.
Published: (2024)

RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection
by: Ye, Shuchang, et al.
Published: (2026)

FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
by: Zhang, Shan, et al.
Published: (2026)

WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning
by: Sonmezer, Mert, et al.
Published: (2026)

Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
by: Zhu, Minghao, et al.
Published: (2023)

WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
by: Tsutsui, Satoshi, et al.
Published: (2026)

Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction
by: Wang, Qin, et al.
Published: (2024)

Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning
by: Niu, Chuang, et al.
Published: (2025)