Image de couverture de livre

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kolek, Stefan, Chattopadhyay, Aditya, Chan, Kwan Ho Ryan, Andrade-Loarca, Hector, Kutyniok, Gitta, Vidal, Réne
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contextual Knowledge Pursuit for Faithful Visual Synthesis
par: Luo, Jinqi, et autres
Publié: (2023)

Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
par: Nguyen, Nghia, et autres
Publié: (2026)

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
par: Ge, Yuyan, et autres
Publié: (2025)

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing
par: Li, Jianfei, et autres
Publié: (2025)

ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
par: Chui, Jason, et autres
Publié: (2025)

Concept Lancet: Image Editing with Compositional Representation Transplant
par: Luo, Jinqi, et autres
Publié: (2025)

Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
par: Nahiduzzaman, Md, et autres
Publié: (2025)

GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection
par: Seleznova, Mariia, et autres
Publié: (2025)

Conformal Information Pursuit for Interactively Guiding Large Language Models
par: Chan, Kwan Ho Ryan, et autres
Publié: (2025)

DIAMOND-SSS: Diffusion-Augmented Multi-View Optimization for Data-efficient SubSurface Scattering
par: Figueroa-Araneda, Guillermo, et autres
Publié: (2026)

DRAW2ACT: Turning Depth-Encoded Trajectories into Robotic Demonstration Videos
par: Bai, Yang, et autres
Publié: (2025)

RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping
par: Bai, Yang, et autres
Publié: (2025)

Interpretable Medical Image Classification using Prototype Learning and Privileged Information
par: Gallee, Luisa, et autres
Publié: (2023)

DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
par: Saifullah, Saifullah, et autres
Publié: (2024)

InfoDisent: Explainability of Image Classification Models by Information Disentanglement
par: Struski, Łukasz, et autres
Publié: (2024)

ACIL: Active Class Incremental Learning for Image Classification
par: Bhattacharya, Aditya R., et autres
Publié: (2026)

RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation
par: Yang, Liudi, et autres
Publié: (2025)

Explainable Image Classification with Reduced Overconfidence for Tissue Characterisation
par: Roddan, Alfie, et autres
Publié: (2025)

Interpretable Image Classification via Non-parametric Part Prototype Learning
par: Zhu, Zhijie, et autres
Publié: (2025)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
par: Chattopadhyay, Nandish, et autres
Publié: (2024)

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
par: Bianchi, Matteo, et autres
Publié: (2024)

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
par: Gao, Yibo, et autres
Publié: (2025)

Triplet-Watershed for Hyperspectral Image Classification
par: Challa, Aditya, et autres
Publié: (2021)

Knowledge driven Description Synthesis for Floor Plan Interpretation
par: Goyal, Shreya, et autres
Publié: (2021)

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification
par: Xiong, Xiangyu, et autres
Publié: (2023)

Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images
par: Sekhar, Ardhendu, et autres
Publié: (2024)

Interpretable Vision Transformers in Image Classification via SVDA
par: Arampatzakis, Vasileios, et autres
Publié: (2026)

Training-free Test-time Improvement for Explainable Medical Image Classification
par: He, Hangzhou, et autres
Publié: (2025)

Balanced Multi-Task Attention for Satellite Image Classification: A Systematic Approach to Achieving 97.23% Accuracy on EuroSAT Without Pre-Training
par: Vir, Aditya
Publié: (2025)

Physically Interpretable Multi-Degradation Image Restoration via Deep Unfolding and Explainable Convolution
par: Gao, Hu, et autres
Publié: (2025)

Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
par: Moin, Mukaffi Bin, et autres
Publié: (2024)

MelanomaNet: Explainable Deep Learning for Skin Lesion Classification
par: Ilyosbekov, Sukhrobbek
Publié: (2025)

Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes
par: Atote, Bhushan, et autres
Publié: (2024)

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers
par: Hong, Jung-Ho, et autres
Publié: (2025)

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
par: Ma, Chiyu, et autres
Publié: (2024)

Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
par: Gallée, Luisa, et autres
Publié: (2025)

Bluish Veil Detection and Lesion Classification using Custom Deep Learnable Layers with Explainable Artificial Intelligence (XAI)
par: Rasel, M. A., et autres
Publié: (2025)

Adaptive Conformal Prediction for Reliable and Explainable Medical Image Classification
par: Octadion, One, et autres
Publié: (2026)

Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
par: Kim, Jinwoo, et autres
Publié: (2023)

Category Query Learning for Human-Object Interaction Classification
par: Xie, Chi, et autres
Publié: (2023)