Imagen de Portada

Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Chenyu, Zhang, Minghui, Zhang, Chuyan, Gu, Yun
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation
por: Zhang, Jiawei, et al.
Publicado: (2025)

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
por: Lu, Haoquan, et al.
Publicado: (2025)

AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis
por: Zhang, Minghui, et al.
Publicado: (2024)

Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge
por: Keuth, Ron, et al.
Publicado: (2023)

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes
por: Zhang, Chuyan, et al.
Publicado: (2025)

Stable Consistency Tuning: Understanding and Improving Consistency Models
por: Wang, Fu-Yun, et al.
Publicado: (2024)

SLA2: Sparse-Linear Attention with Learnable Routing and QAT
por: Zhang, Jintao, et al.
Publicado: (2026)

TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting
por: Tan, Yuyang, et al.
Publicado: (2026)

On the Learnability of Out-of-distribution Detection
por: Fang, Zhen, et al.
Publicado: (2024)

Combating Noisy Labels via Dynamic Connection Masking
por: Zhang, Xinlei, et al.
Publicado: (2025)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
por: Wang, Hu, et al.
Publicado: (2023)

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
por: Zhang, Yechao, et al.
Publicado: (2025)

URLOST: Unsupervised Representation Learning without Stationarity or Topology
por: Yun, Zeyu, et al.
Publicado: (2023)

Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
por: Li, Yang, et al.
Publicado: (2025)

Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
por: Yu, Daiwei, et al.
Publicado: (2024)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
por: Abedi, Ali, et al.
Publicado: (2025)

Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
por: Bui, Anh, et al.
Publicado: (2024)

Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification
por: Jiang, Ruobing, et al.
Publicado: (2025)

Model Debiasing by Learnable Data Augmentation
por: Morerio, Pietro, et al.
Publicado: (2024)

Multi-layer Learnable Attention Mask for Multimodal Tasks
por: Barrios, Wayner, et al.
Publicado: (2024)

CETCAM: Camera-Controllable Video Generation via Consistent and Extensible Tokenization
por: Zhao, Zelin, et al.
Publicado: (2025)

Forgettable Federated Linear Learning with Certified Data Unlearning
por: Jin, Ruinan, et al.
Publicado: (2023)

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
por: Jiang, Shiyi, et al.
Publicado: (2025)

OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
por: Niu, Shengjie, et al.
Publicado: (2024)

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
por: Menabue, Martin, et al.
Publicado: (2024)

Efficient Visual Transformer by Learnable Token Merging
por: Wang, Yancheng, et al.
Publicado: (2024)

Subtractive Modulative Network with Learnable Periodic Activations
por: Wang, Tiou, et al.
Publicado: (2026)

HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
por: Arora, Mehul, et al.
Publicado: (2024)

Image Diffusion Preview with Consistency Solver
por: Wang, Fu-Yun, et al.
Publicado: (2025)

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
por: Zheng, Kaiwen, et al.
Publicado: (2025)

Phased Consistency Models
por: Wang, Fu-Yun, et al.
Publicado: (2024)

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
por: Gu, Hao, et al.
Publicado: (2025)

Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection
por: Zhang, Kunyu, et al.
Publicado: (2025)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
por: Zheng, Ziwei, et al.
Publicado: (2024)

TopoVST: Toward Topology-fidelitous Vessel Skeleton Tracking
por: Liu, Yaoyu, et al.
Publicado: (2026)

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics
por: Mesbah, Zacharia, et al.
Publicado: (2025)

Dataset Distillers Are Good Label Denoisers In the Wild
por: Cheng, Lechao, et al.
Publicado: (2024)

SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
por: Wu, Zhangkai, et al.
Publicado: (2025)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
por: Meo, Cristian, et al.
Publicado: (2024)

Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
por: Chi, Zhixiang, et al.
Publicado: (2025)