Conquering the Retina: Bringing Visual in-Context Learning to OCT
Fuente:
arXiv
Guardado en:
| Autores principales: | Negrini, Alessio, Reiß, Simon |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks
por: Schmidt, Carlos, et al.
Publicado: (2026)
por: Schmidt, Carlos, et al.
Publicado: (2026)
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT
por: Fazekas, Botond, et al.
Publicado: (2025)
por: Fazekas, Botond, et al.
Publicado: (2025)
Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
por: Reiß, Simon, et al.
Publicado: (2025)
por: Reiß, Simon, et al.
Publicado: (2025)
Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers
por: Shu, Yuyang, et al.
Publicado: (2024)
por: Shu, Yuyang, et al.
Publicado: (2024)
Bringing the Context Back into Object Recognition, Robustly
por: Janouskova, Klara, et al.
Publicado: (2024)
por: Janouskova, Klara, et al.
Publicado: (2024)
Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective
por: Muth, Jonas, et al.
Publicado: (2026)
por: Muth, Jonas, et al.
Publicado: (2026)
Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data
por: Wang, Shijie, et al.
Publicado: (2026)
por: Wang, Shijie, et al.
Publicado: (2026)
Bringing Multimodality to Amazon Visual Search System
por: Zhu, Xinliang, et al.
Publicado: (2024)
por: Zhu, Xinliang, et al.
Publicado: (2024)
RMK RetinaNet: Rotated Multi-Kernel RetinaNet for Robust Oriented Object Detection in Remote Sensing Imagery
por: Sun, Huiran
Publicado: (2026)
por: Sun, Huiran
Publicado: (2026)
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
por: Xu, Haoran, et al.
Publicado: (2026)
por: Xu, Haoran, et al.
Publicado: (2026)
Learning to Segment Corneal Tissue Interfaces in OCT Images
por: Mathai, Tejas Sudharshan, et al.
Publicado: (2018)
por: Mathai, Tejas Sudharshan, et al.
Publicado: (2018)
Applications of No-Collision Transportation Maps in Manifold Learning
por: Negrini, Elisa, et al.
Publicado: (2023)
por: Negrini, Elisa, et al.
Publicado: (2023)
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
por: Savov, Nedko, et al.
Publicado: (2025)
por: Savov, Nedko, et al.
Publicado: (2025)
DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
por: Song, Jaewoo, et al.
Publicado: (2025)
por: Song, Jaewoo, et al.
Publicado: (2025)
From Web to Pixels: Bringing Agentic Search into Visual Perception
por: Yang, Bokang, et al.
Publicado: (2026)
por: Yang, Bokang, et al.
Publicado: (2026)
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
por: Cai, Shuo, et al.
Publicado: (2025)
por: Cai, Shuo, et al.
Publicado: (2025)
MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry
por: Cheng, Leo Kaixuan, et al.
Publicado: (2026)
por: Cheng, Leo Kaixuan, et al.
Publicado: (2026)
CLIP Brings Better Features to Visual Aesthetics Learners
por: Xu, Liwu, et al.
Publicado: (2023)
por: Xu, Liwu, et al.
Publicado: (2023)
Test-Time Visual In-Context Tuning
por: Xie, Jiahao, et al.
Publicado: (2025)
por: Xie, Jiahao, et al.
Publicado: (2025)
Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
por: Kang, Xiaolu, et al.
Publicado: (2026)
por: Kang, Xiaolu, et al.
Publicado: (2026)
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
por: Tu, Yuanpeng, et al.
Publicado: (2024)
por: Tu, Yuanpeng, et al.
Publicado: (2024)
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
por: Emre, Taha, et al.
Publicado: (2024)
por: Emre, Taha, et al.
Publicado: (2024)
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving
por: Luo, Zhengquan, et al.
Publicado: (2025)
por: Luo, Zhengquan, et al.
Publicado: (2025)
Masked Image Modelling for retinal OCT understanding
por: Pissas, Theodoros, et al.
Publicado: (2024)
por: Pissas, Theodoros, et al.
Publicado: (2024)
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
por: Zhou, Hanyu, et al.
Publicado: (2024)
por: Zhou, Hanyu, et al.
Publicado: (2024)
Learning Privacy from Visual Entities
por: Xompero, Alessio, et al.
Publicado: (2025)
por: Xompero, Alessio, et al.
Publicado: (2025)
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
por: Zhang, Aoting, et al.
Publicado: (2025)
por: Zhang, Aoting, et al.
Publicado: (2025)
DC-Net: Divide-and-Conquer for Salient Object Detection
por: Zhu, Jiayi, et al.
Publicado: (2023)
por: Zhu, Jiayi, et al.
Publicado: (2023)
VAMAE: Vessel-Aware Masked Autoencoders for OCT Angiography
por: Abolade, Ilerioluwakiiye, et al.
Publicado: (2026)
por: Abolade, Ilerioluwakiiye, et al.
Publicado: (2026)
Personal Visual Context Learning in Large Multimodal Models
por: Xue, Zihui, et al.
Publicado: (2026)
por: Xue, Zihui, et al.
Publicado: (2026)
Exploring Effective Factors for Improving Visual In-Context Learning
por: Sun, Yanpeng, et al.
Publicado: (2023)
por: Sun, Yanpeng, et al.
Publicado: (2023)
Enhancing Visual In-Context Learning by Multi-Faceted Fusion
por: Liao, Wenwen, et al.
Publicado: (2026)
por: Liao, Wenwen, et al.
Publicado: (2026)
LUMOS: Universal Semi-Supervised OCT Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning
por: Fang, Yizhou, et al.
Publicado: (2026)
por: Fang, Yizhou, et al.
Publicado: (2026)
NeuralOCT: Airway OCT Analysis via Neural Fields
por: Jiao, Yining, et al.
Publicado: (2024)
por: Jiao, Yining, et al.
Publicado: (2024)
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
por: Silva-Rodríguez, Julio, et al.
Publicado: (2023)
por: Silva-Rodríguez, Julio, et al.
Publicado: (2023)
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
por: Hong, Jung-Ho, et al.
Publicado: (2023)
por: Hong, Jung-Ho, et al.
Publicado: (2023)
Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
por: Ye, Zhipeng, et al.
Publicado: (2026)
por: Ye, Zhipeng, et al.
Publicado: (2026)
Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context
por: Yinkfu, Ngeyen, et al.
Publicado: (2025)
por: Yinkfu, Ngeyen, et al.
Publicado: (2025)
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
por: Xiao, Junyuan, et al.
Publicado: (2026)
por: Xiao, Junyuan, et al.
Publicado: (2026)
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
por: Li, Zhong-Yu, et al.
Publicado: (2025)
por: Li, Zhong-Yu, et al.
Publicado: (2025)
Ejemplares similares
-
From Static to Interactive: Adapting Visual in-Context Learners for User-Driven Tasks
por: Schmidt, Carlos, et al.
Publicado: (2026) -
SD-RetinaNet: Topologically Constrained Semi-Supervised Retinal Lesion and Layer Segmentation in OCT
por: Fazekas, Botond, et al.
Publicado: (2025) -
Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
por: Reiß, Simon, et al.
Publicado: (2025) -
Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers
por: Shu, Yuyang, et al.
Publicado: (2024) -
Bringing the Context Back into Object Recognition, Robustly
por: Janouskova, Klara, et al.
Publicado: (2024)