visual explanation

Diffusion-CAM: Faithful Visual Explanations for dMLLMs ACL 2026 Explaining Object Detectors via Collective Contribution of Pixels CVPR 2026 PRISM: Prototype-based Reasoning with Inter-modal Semantic Mining for Interpretable Image Recognition CVPR 2026 Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026 Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation CVPR 2025 From Visual Explanations to Counterfactual Explanations with Latent Diffusion WACV 2025 Generating Visual Explanations from Deep Networks using Implicit Neural Representations WACV 2025 On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process WACV 2025 Token Activation Map to Visually Explain Multimodal LLMs ICCV 2025 Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention AAAI 2024 Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA ICML 2024 Efficient Explainable Face Verification Based on Similarity Score Argument Backpropagation WACV 2024 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024 Improved Visual Grounding through Self-Consistent Explanations CVPR 2024 Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations EACL 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 A Protocol for Evaluating Model Interpretation Methods From Visual Explanations WACV 2023 Local Path Integration for Attribution AAAI 2023 ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection ICLR 2023 This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations NeurIPS 2023 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks CVPR 2022 A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation AAAI 2021 Black-Box Explanation of Object Detectors via Saliency Maps CVPR 2021 DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation WACV 2021