Cover Image

CF-CAM: Cluster Filter Class Activation Mapping for Reliable Gradient-Based Interpretability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Hongjie, Pan, Xu, Yao, Yudong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TextCAM: Explaining Class Activation Map with Text
by: Zhao, Qiming, et al.
Published: (2025)

Assessing the Noise Robustness of Class Activation Maps: A Framework for Reliable Model Interpretability
by: Sarkar, Syamantak, et al.
Published: (2025)

Toward Reliable and Explainable Nail Disease Classification: Leveraging Adversarial Training and Grad-CAM Visualization
by: Hossain, Farzia, et al.
Published: (2026)

Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map
by: Yang, Yuguang, et al.
Published: (2023)

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
by: Nieradzik, Lars, et al.
Published: (2024)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

Class-Discriminative Attention Maps for Vision Transformers
by: Brocki, Lennart, et al.
Published: (2023)

Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
by: Wan, Xinhang, et al.
Published: (2023)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
by: Agrawal, Susmit, et al.
Published: (2025)

Class Incremental Learning via Likelihood Ratio Based Task Prediction
by: Lin, Haowei, et al.
Published: (2023)

The Kalman Evolve: Closing the Gap in Kalman Filtering via Interpretable Algorithm Discovery
by: Saketos, Vasileios, et al.
Published: (2026)

An Interpretable X-ray Style Transfer via Trainable Local Laplacian Filter
by: Eckert, Dominik, et al.
Published: (2024)

Token Activation Map to Visually Explain Multimodal LLMs
by: Li, Yi, et al.
Published: (2025)

CRD: Collaborative Representation Distance for Practical Anomaly Detection
by: Han, Chao, et al.
Published: (2023)

Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
by: Wang, Ye, et al.
Published: (2024)

Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management
by: Kurpukdee, Nattapong, et al.
Published: (2026)

Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation
by: Yue, Xin, et al.
Published: (2023)

FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision
by: Silva, Ravidu Suien Rammuni, et al.
Published: (2023)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
by: Kim, Minsu, et al.
Published: (2025)

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation
by: Tang, Haitong, et al.
Published: (2021)

Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
by: Jun, Youngjun, et al.
Published: (2026)

Activation Function Optimization Scheme for Image Classification
by: Rahman, Abdur, et al.
Published: (2024)

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
by: Xu, Xinyue, et al.
Published: (2024)

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
by: Wall, Casey, et al.
Published: (2025)

Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
by: Qian, Shengsheng, et al.
Published: (2023)

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
by: Mehrpanah, Amir, et al.
Published: (2025)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
by: He, Run, et al.
Published: (2025)

Query-Conditioned Evidential Keyframe Sampling for MLLM-Based Long-Form Video Understanding
by: Wang, Yiheng, et al.
Published: (2026)

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
by: Parekh, Jayneel, et al.
Published: (2024)

Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
by: Chorna, Sofiia, et al.
Published: (2025)

Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
by: Doumanoglou, Alexandros, et al.
Published: (2023)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
by: Li, Zhuohong, et al.
Published: (2024)

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
by: Pan, Jiachun, et al.
Published: (2023)

MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
by: Mishra, Divyanshu, et al.
Published: (2025)

SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
by: Rao, Penghao, et al.
Published: (2025)

MASC: Boosting Autoregressive Image Generation with a Manifold-Aligned Semantic Clustering
by: He, Lixuan, et al.
Published: (2025)

ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation
by: Hosseini, Hesam, et al.
Published: (2024)

A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
by: Saralajew, Sascha, et al.
Published: (2024)