Cover Image

Interpretable Image Classification via Non-parametric Part Prototype Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Zhijie, Fan, Lei, Pagnucco, Maurice, Song, Yang
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

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation
by: Tang, Qingchen, et al.
Published: (2025)

Dataset Distillation for Histopathology Image Classification
by: Cong, Cong, et al.
Published: (2024)

Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
by: Fan, Lei, et al.
Published: (2024)

An annotated grain kernel image database for visual quality inspection
by: Fan, Lei, et al.
Published: (2023)

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
by: Fan, Lei, et al.
Published: (2024)

ProtoSolo: Interpretable Image Classification via Single-Prototype Activation
by: Peng, Yitao, et al.
Published: (2025)

Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes
by: Atote, Bhushan, et al.
Published: (2024)

Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
by: Gallée, Luisa, et al.
Published: (2025)

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

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
by: Xue, Mengqi, et al.
Published: (2022)

FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models
by: Zhong, Haonan, et al.
Published: (2026)

Vision-based Multi-future Trajectory Prediction: A Survey
by: Huang, Renhao, et al.
Published: (2023)

Prototype Learning for Micro-gesture Classification
by: Chen, Guoliang, et al.
Published: (2024)

Interpretable Medical Image Classification using Prototype Learning and Privileged Information
by: Gallee, Luisa, et al.
Published: (2023)

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts
by: Ji, Zhong, et al.
Published: (2025)

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
by: Sacha, Mikołaj, et al.
Published: (2023)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
by: Su, Meijuan, et al.
Published: (2023)

MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
by: Li, Binghua, et al.
Published: (2024)

Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
by: Alehdaghi, Mahdi, et al.
Published: (2025)

EPIC: Explanation of Pretrained Image Classification Networks via Prototype
by: Borycki, Piotr, et al.
Published: (2025)

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

Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
by: Pathak, Shreyasi, et al.
Published: (2024)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
by: Shi, Kexuan, et al.
Published: (2025)

Personalized Interpretability -- Interactive Alignment of Prototypical Parts Networks
by: Michalski, Tomasz, et al.
Published: (2025)

ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification
by: Janusz, Mikołaj, et al.
Published: (2026)

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification
by: Sun, Susu, et al.
Published: (2025)

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
by: Ayoobi, Hamed, et al.
Published: (2023)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)

Interpretable Vision Transformers in Image Classification via SVDA
by: Arampatzakis, Vasileios, et al.
Published: (2026)

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
by: Miao, Yibo, et al.
Published: (2024)

Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model
by: Yang, Yijun, et al.
Published: (2026)

HiProto: Hierarchical Prototype Learning for Interpretable Object Detection Under Low-quality Conditions
by: Xiang, Jianlin, et al.
Published: (2026)

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
by: Kolek, Stefan, et al.
Published: (2023)

ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification
by: Yang, Rui, et al.
Published: (2023)

PartStickers: Generating Parts of Objects for Rapid Prototyping
by: Zhou, Mo, et al.
Published: (2025)

Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics
by: Zhang, Yupei, et al.
Published: (2025)

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

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
by: Zhu, Shengqian, et al.
Published: (2025)

Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
by: Song, Feifan, et al.
Published: (2026)

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
by: Gou, Jiaxiang, et al.
Published: (2024)