Copertina

Scaling In-Context Segmentation with Hierarchical Supervision

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ndir, T. Camaret, Reisert, Marco, Schirrmeister, Robin T.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Training
di: Ndir, Tidiane Camaret, et al.
Pubblicazione: (2025)

EEG-CLIP : Learning EEG representations from natural language descriptions
di: Ndir, Tidiane Camaret, et al.
Pubblicazione: (2025)

Hierarchical Action Learning for Weakly-Supervised Action Segmentation
di: Huang, Junxian, et al.
Pubblicazione: (2026)

Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency
di: Nguyen, Thanh-Huy, et al.
Pubblicazione: (2026)

Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
di: Ulrich, Constantin, et al.
Pubblicazione: (2025)

PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches
di: Skibbe, Henrik, et al.
Pubblicazione: (2023)

Context Patch Fusion With Class Token Enhancement for Weakly Supervised Semantic Segmentation
di: Fu, Yiyang, et al.
Pubblicazione: (2026)

UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation
di: Zhao, Xiaoqi, et al.
Pubblicazione: (2025)

HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection
di: Xu, Qi'ao, et al.
Pubblicazione: (2025)

Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
di: Quesada, Jorge, et al.
Pubblicazione: (2026)

MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
di: Li, Haotang, et al.
Pubblicazione: (2025)

Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning
di: Hu, Jiesi, et al.
Pubblicazione: (2025)

LUMOS: Universal Semi-Supervised OCT Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning
di: Fang, Yizhou, et al.
Pubblicazione: (2026)

HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts
di: Schön, Robin, et al.
Pubblicazione: (2025)

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
di: Liu, Ye, et al.
Pubblicazione: (2021)

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
di: Jo, Sanghyun, et al.
Pubblicazione: (2024)

JanusNet: Hierarchical Slice-Block Shuffle and Displacement for Semi-Supervised 3D Multi-Organ Segmentation
di: Zhang, Zheng, et al.
Pubblicazione: (2025)

HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis
di: Zhang, Xin, et al.
Pubblicazione: (2025)

Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision
di: Cao, Shuyu, et al.
Pubblicazione: (2025)

COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
di: He, Liu, et al.
Pubblicazione: (2024)

Skeleton Supervised Airway Segmentation
di: Zhao, Mingyue, et al.
Pubblicazione: (2024)

Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
di: Meng, Junying, et al.
Pubblicazione: (2025)

Co-Segmentation without any Pixel-level Supervision with Application to Large-Scale Sketch Classification
di: Ypsilantis, Nikolaos-Antonios, et al.
Pubblicazione: (2024)

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
di: Long, Yitian, et al.
Pubblicazione: (2025)

Evolved Hierarchical Masking for Self-Supervised Learning
di: Feng, Zhanzhou, et al.
Pubblicazione: (2025)

Cross-Scale Pretraining: Enhancing Self-Supervised Learning for Low-Resolution Satellite Imagery for Semantic Segmentation
di: Waithaka, John, et al.
Pubblicazione: (2026)

Extreme Point Supervised Instance Segmentation
di: Lee, Hyeonjun, et al.
Pubblicazione: (2024)

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
di: Tang, Feilong, et al.
Pubblicazione: (2024)

Weakly-Supervised Referring Video Object Segmentation through Text Supervision
di: Shi, Miaojing, et al.
Pubblicazione: (2026)

Cycle Context Verification for In-Context Medical Image Segmentation
di: Hu, Shishuai, et al.
Pubblicazione: (2025)

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization
di: Li, Mengtian, et al.
Pubblicazione: (2024)

Hierarchical Semi-Supervised Active Learning for Remote Sensing
di: Huang, Wei, et al.
Pubblicazione: (2025)

HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
di: Kokilepersaud, Kiran, et al.
Pubblicazione: (2024)

Explicit Context Reasoning with Supervision for Visual Tracking
di: Zeng, Fansheng, et al.
Pubblicazione: (2025)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
di: Ye, Maoyuan, et al.
Pubblicazione: (2024)

WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation
di: Schön, Robin, et al.
Pubblicazione: (2024)

Sequential Gaussian Avatars with Hierarchical Motion Context
di: Xu, Wangze, et al.
Pubblicazione: (2024)

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation
di: You, Lechun, et al.
Pubblicazione: (2025)

Tuning-free Universally-Supervised Semantic Segmentation
di: Yang, Xiaobo, et al.
Pubblicazione: (2024)