saliency map

Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes CVPR 2026 ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors CVPR 2026 EPIC: Explanation of Pretrained Image Classification Networks via Prototypes AAAI 2026 From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026 H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers CVPR 2026 I'm a Map! Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers CVPR 2026 Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency CVPR 2026 Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations AAAI 2026 Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward CVPR 2026 SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026 Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models WACV 2025 CAM-Based Methods Can See through Walls (Extended Abstract) IJCAI 2025 CE-FAM: Concept-Based Explanation via Fusion of Activation Maps ICCV 2025 DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences CVPR 2025 DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability AISTATS 2025 Interpreting Object-level Foundation Models via Visual Precision Search CVPR 2025 Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025 Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection AAAI 2025 Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR 2025 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification IJCAI 2024 Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024