:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Chong, Liu, Fengbei, Chen, Yuanhong, Frazer, Helen, Carneiro, Gustavo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2411.04607
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
by: Wang, Chong, et al.
Published: (2023)

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
by: Chen, Yuanhong, et al.
Published: (2023)

Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
by: Liu, Fengbei, et al.
Published: (2023)

Translation Consistent Semi-supervised Segmentation for 3D Medical Images
by: Liu, Yuyuan, et al.
Published: (2022)

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations
by: Chen, Yuanhong, et al.
Published: (2023)

CPM: Class-conditional Prompting Machine for Audio-visual Segmentation
by: Chen, Yuanhong, et al.
Published: (2024)

Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
by: Wang, Hu, et al.
Published: (2023)

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
by: Liu, Yuyuan, et al.
Published: (2024)

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting
by: Liu, Yuyuan, et al.
Published: (2025)

A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification
by: Zhang, Yuan, et al.
Published: (2024)

Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis
by: Wang, Hu, et al.
Published: (2024)

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
by: Garg, Arpit, et al.
Published: (2023)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
by: Wang, Wanqi, et al.
Published: (2026)

CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss
by: Pitawela, Dileepa, et al.
Published: (2025)

Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data
by: Wang, Hu, et al.
Published: (2024)

Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis
by: Jia, Junhao, et al.
Published: (2026)

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
by: Wang, Bor-Shiun, et al.
Published: (2024)

Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
by: Lu, Yadong, et al.
Published: (2024)

Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
by: Jiang, Shuo, et al.
Published: (2025)

ContrastDiagnosis: Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning
by: Wang, Chenglong, et al.
Published: (2024)

Adaptive Prototype Model for Attribute-based Multi-label Few-shot Action Recognition
by: Xiao, Juefeng, et al.
Published: (2025)

ICG-MVSNet: Learning Intra-view and Cross-view Relationships for Guidance in Multi-View Stereo
by: Hu, Yuxi, et al.
Published: (2025)

CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
by: Liu, Chenying, et al.
Published: (2024)

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

PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection
by: Gao, Yingjie, et al.
Published: (2024)

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation
by: Chen, Kerui, et al.
Published: (2025)

Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching
by: Gong, Rui, et al.
Published: (2024)

An Interpretable Multi-Plane Fusion Framework With Kolmogorov-Arnold Network Guided Attention Enhancement for Alzheimer's Disease Diagnosis
by: Yang, Xiaoxiao, et al.
Published: (2025)

Cross-Stage Attention Multi-Expert Network for Radiologist-Inspired Breast Ultrasound Diagnosis
by: Zhai, Xinyang, et al.
Published: (2026)

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
by: Ma, Chiyu, et al.
Published: (2024)

IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation
by: Liu, Han, et al.
Published: (2026)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
by: Hoang, Dung Anh, et al.
Published: (2022)

Geodesic Prototype Matching via Diffusion Maps for Interpretable Fine-Grained Recognition
by: Jia, Junhao, et al.
Published: (2025)

PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
by: Li, Yanfei, et al.
Published: (2025)

ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels
by: Cordeiro, Filipe R., et al.
Published: (2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
by: Zhou, Ziyu, et al.
Published: (2024)

Self-Supervised Cross-Encoder for Neurodegenerative Disease Diagnosis
by: Cheng, Fangqi, et al.
Published: (2025)

Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
by: Porta, Hugo, et al.
Published: (2024)

Efficient Multi-Person Motion Prediction by Lightweight Spatial and Temporal Interactions
by: Zheng, Yuanhong, et al.
Published: (2025)

Exploring the Challenge and Value of Deep Learning in Automated Skin Disease Diagnosis
by: Liu, Runhao, et al.
Published: (2025)