Cover Image

Accurate Explanation Model for Image Classifiers using Class Association Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Ruitao, Chen, Jingbang, Jiang, Limai, Xiao, Rui, Pan, Yi, Cai, Yunpeng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation
by: Xie, Ruitao, et al.
Published: (2024)

Automated Learning of Semantic Embedding Representations for Diffusion Models
by: Jiang, Limai, et al.
Published: (2025)

Leveraging Causal Reasoning Method for Explaining Medical Image Segmentation Models
by: Jiang, Limai, et al.
Published: (2026)

Multiple Different Black Box Explanations for Image Classifiers
by: Chockler, Hana, et al.
Published: (2023)

PokeFusion Attention: A Lightweight Cross-Attention Mechanism for Style-Conditioned Image Generation
by: Tang, Jingbang
Published: (2026)

WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
by: Zhang, Zhang, et al.
Published: (2026)

Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
by: Mertes, Silvan, et al.
Published: (2024)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
by: Xu, Kaiwen, et al.
Published: (2023)

Scalable Analytic Classifiers with Associative Drift Compensation for Class-Incremental Learning of Vision Transformers
by: Rao, Xuan, et al.
Published: (2026)

PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
by: Schiesser, Lukas, et al.
Published: (2025)

Swin-TUNA : A Novel PEFT Approach for Accurate Food Image Segmentation
by: Chen, Haotian, et al.
Published: (2025)

Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation
by: Liu, Xianjie, et al.
Published: (2023)

Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
by: Yu, Xiaoyan, et al.
Published: (2024)

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
by: Yi, Huiyu, et al.
Published: (2026)

DialBench: Towards Accurate Reading Recognition of Pointer Meter using Large Foundation Models
by: Wang, Futian, et al.
Published: (2025)

Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
by: Ma, Qing, et al.
Published: (2023)

Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
by: Wu, Ruitao, et al.
Published: (2025)

Finding Beautiful and Happy Images for Mental Health and Well-being Applications
by: Xie, Ruitao, et al.
Published: (2024)

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
by: LeCoz, Adrien, et al.
Published: (2024)

Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
by: Wang, Peiyong, et al.
Published: (2024)

Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
by: Tu, Dunwei, et al.
Published: (2024)

Gradient-Free Classifier Guidance for Diffusion Model Sampling
by: Shenoy, Rahul, et al.
Published: (2024)

Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
by: Nguyen, Quoc Khanh, et al.
Published: (2024)

CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models
by: Lee, Donghee, et al.
Published: (2026)

Biased Binary Attribute Classifiers Ignore the Majority Classes
by: Zhang, Xinyi, et al.
Published: (2024)

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
by: Wu, Ruitao, et al.
Published: (2025)

Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
by: Zeng, Qingyuan, et al.
Published: (2024)

Discriminative Class Tokens for Text-to-Image Diffusion Models
by: Schwartz, Idan, et al.
Published: (2023)

Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)

MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
by: Li, Xiang, et al.
Published: (2026)

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
by: Chen, Yi-Chung, et al.
Published: (2025)

Pixelis: Reasoning in Pixels, from Seeing to Acting
by: Zhou, Yunpeng
Published: (2026)

Autism Spectrum Disorder Classification with Interpretability in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder
by: Ma, Ruimin, et al.
Published: (2023)

Explanation-Driven Counterfactual Testing for Faithfulness in Vision-Language Model Explanations
by: Ding, Sihao, et al.
Published: (2025)

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning
by: Shanbhag, Arundhati S., et al.
Published: (2024)

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
by: Zhang, Zeliang, et al.
Published: (2024)

Luminark: Training-free, Probabilistically-Certified Watermarking for General Vision Generative Models
by: Xu, Jiayi, et al.
Published: (2026)

Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
by: Zhu, Zhu, et al.
Published: (2025)

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
by: Huang, Zhenglin, et al.
Published: (2024)

MEGL: Multimodal Explanation-Guided Learning
by: Zhang, Yifei, et al.
Published: (2024)