Cover Image

Quadrant Segmentation VLM with Few-Shot Adaptation and OCT Learning-based Explainability Methods for Diabetic Retinopathy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Telang, Shivum
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

Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy
by: Okuwobi, Idowu Paul, et al.
Published: (2024)

Diabetic Retinopathy Lesion Segmentation through Attention Mechanisms
by: Jithesh, Aruna, et al.
Published: (2026)

Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
by: Baklouti, Ghassen, et al.
Published: (2025)

Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
by: Jacovella, Maxime, et al.
Published: (2024)

XDR-LVLM: An Explainable Vision-Language Large Model for Diabetic Retinopathy Diagnosis
by: Ito, Masato, et al.
Published: (2025)

PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
by: Rosi, Gabriele, et al.
Published: (2026)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
by: Mihai, Anca, et al.
Published: (2025)

Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation
by: Nie, Jiahao, et al.
Published: (2026)

CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model
by: Xiao, Aoran, et al.
Published: (2024)

Diabetic Retinopathy Grading with CLIP-based Ranking-Aware Adaptation:A Comparative Study on Fundus Image
by: Cho, Sungjun
Published: (2026)

Explainable AI for Diabetic Retinopathy Detection Using Deep Learning with Attention Mechanisms and Fuzzy Logic-Based Interpretability
by: Karthik, Abishek, et al.
Published: (2025)

Few-Shot Segmentation with Global and Local Contrastive Learning
by: Liu, Weide, et al.
Published: (2021)

TWLR: Text-Guided Weakly-Supervised Lesion Localization and Severity Regression for Explainable Diabetic Retinopathy Grading
by: Luo, Xi, et al.
Published: (2025)

Hybrid Mamba for Few-Shot Segmentation
by: Xu, Qianxiong, et al.
Published: (2024)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
by: He, Xingxin, et al.
Published: (2025)

Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
by: Ming, Yu, et al.
Published: (2024)

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
by: Nguyen, Thanh-Danh, et al.
Published: (2023)

EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
by: Lei, Qinqian, et al.
Published: (2024)

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
by: Sural, Shounak, et al.
Published: (2024)

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)

Few-Shot Fruit Segmentation via Transfer Learning
by: James, Jordan A., et al.
Published: (2024)

VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
by: Refat, Shamim Rahim, et al.
Published: (2025)

Learning to Segment Corneal Tissue Interfaces in OCT Images
by: Mathai, Tejas Sudharshan, et al.
Published: (2018)

Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA
by: De Marinis, Pasquale, et al.
Published: (2025)

TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
by: Li, Wenxue, et al.
Published: (2024)

Prototype-Driven Adaptation for Few-Shot Object Detection
by: Huang, Yushen, et al.
Published: (2025)

Few-Shot Adaptation of Grounding DINO for Agricultural Domain
by: Singh, Rajhans, et al.
Published: (2025)

Object-level Correlation for Few-Shot Segmentation
by: Wen, Chunlin, et al.
Published: (2025)

Eliminating Feature Ambiguity for Few-Shot Segmentation
by: Xu, Qianxiong, et al.
Published: (2024)

Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
by: Boulaabi, Meher, et al.
Published: (2025)

Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
by: Thrainer, Christina, et al.
Published: (2025)

Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
by: Liu, Hongli, et al.
Published: (2026)

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
by: Li, Haoran, et al.
Published: (2026)

FS-SAM2: Adapting Segment Anything Model 2 for Few-Shot Semantic Segmentation via Low-Rank Adaptation
by: Forni, Bernardo, et al.
Published: (2025)

Comprehensive Evaluation of OCT-based Automated Segmentation of Retinal Layer, Fluid and Hyper-Reflective Foci: Impact on Clinical Assessment of Diabetic Retinopathy Severity
by: Chen, S., et al.
Published: (2025)

FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation
by: Sivakumar, Piraveen, et al.
Published: (2024)

HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
by: Lei, Qinqian, et al.
Published: (2025)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
by: Feng, Chen-Bin, et al.
Published: (2024)

Stochastic-based Patch Filtering for Few-Shot Learning
by: Rodenas, Javier, et al.
Published: (2025)