Cover Image

How to Evaluate and Refine your CAM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Domeniconi, Luca, Stramiglio, Alessandra, Lombardi, Michele, Salti, Samuele
Format:	Preprint
Published:	2026
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

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing
by: Poniatowski, Adrian, et al.
Published: (2025)

Improving Post-Earthquake Crack Detection using Semi-Synthetic Generated Images
by: Dondi, Piercarlo, et al.
Published: (2024)

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
by: Brack, Manuel, et al.
Published: (2025)

Med-CAM: Minimal Evidence for Explaining Medical Decision Making
by: Suhail, Pirzada, et al.
Published: (2026)

CAM-VFD: Cross-Attention Multimodal Video Forgery Detection
by: Elkhodary, Hoda Osama, et al.
Published: (2026)

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
by: Singh, Aniket K., et al.
Published: (2024)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation
by: Zhang, Ziheng, et al.
Published: (2025)

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
by: Chowdhury, Arpita, et al.
Published: (2025)

Feature CAM: Interpretable AI in Image Classification
by: Clement, Frincy, et al.
Published: (2024)

FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models
by: Lim, Youngsun, et al.
Published: (2026)

CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation
by: Ahmed, Masud, et al.
Published: (2025)

EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition
by: Doulfoukar, Youssef, et al.
Published: (2024)

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
by: Leem, Saebom, et al.
Published: (2024)

KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
by: Karmani, Sachin, et al.
Published: (2024)

An Attention Infused Deep Learning System with Grad-CAM Visualization for Early Screening of Glaucoma
by: Swaminathan, Ramanathan
Published: (2025)

Value-Guided Iterative Refinement and the DIQ-H Benchmark for Evaluating VLM Robustness
by: Wan, Hanwen, et al.
Published: (2025)

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026)

Region-Aware CAM: High-Resolution Weakly-Supervised Defect Segmentation via Salient Region Perception
by: Dong, Hang-Cheng, et al.
Published: (2025)

Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study
by: Chamas, Rabih, et al.
Published: (2024)

Weakly Supervised Pneumonia Localization from Chest X-Rays Using Deep Neural Network and Grad-CAM Explanations
by: Shahi, Kiran, et al.
Published: (2025)

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

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

Anti-I2V: Safeguarding your photos from malicious image-to-video generation
by: Vu, Duc, et al.
Published: (2026)

A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
by: Ayub, Anas Bin, et al.
Published: (2025)

Refining Pre-Trained Motion Models
by: Sun, Xinglong, et al.
Published: (2024)

My Emotion on your face: The use of Facial Keypoint Detection to preserve Emotions in Latent Space Editing
by: He, Jingrui, et al.
Published: (2025)

EI-Part: Explode for Completion and Implode for Refinement
by: Sun, Wanhu, et al.
Published: (2026)

Top-Down Semantic Refinement for Image Captioning
by: Zhang, Jusheng, et al.
Published: (2025)

TimeRefine: Temporal Grounding with Time Refining Video LLM
by: Wang, Xizi, et al.
Published: (2024)

Conditional Random Fields for Interactive Refinement of Histopathological Predictions
by: Godelaine, Tiffanie, et al.
Published: (2026)

Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
by: Mao, Jiawei, et al.
Published: (2026)

Poivre: Self-Refining Visual Pointing with Reinforcement Learning
by: Yang, Wenjie, et al.
Published: (2025)

Design-o-meter: Towards Evaluating and Refining Graphic Designs
by: Goyal, Sahil, et al.
Published: (2024)

Weight Space Representation Learning on Diverse NeRF Architectures
by: Ballerini, Francesco, et al.
Published: (2025)

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)

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
by: Zhou, Yang, et al.
Published: (2024)

Training-Free Refinement of Flow Matching with Divergence-based Sampling
by: Cha, Yeonwoo, et al.
Published: (2026)

Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
by: Guo, Junrong, et al.
Published: (2026)

AIR: Zero-shot Generative Model Adaptation with Iterative Refinement
by: Liu, Guimeng, et al.
Published: (2025)