visual explanation

DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation ICCV 2021 EVET: Enhancing Visual Explanations of Deep Neural Networks Using Image Transformations WACV 2021 Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes WACV 2021 Keep CALM and Improve Visual Feature Attribution ICCV 2021 LFI-CAM: Learning Feature Importance for Better Visual Explanation ICCV 2021 Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations CVPR 2021 SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition ICCV 2021 Towards Visually Explaining Video Understanding Networks With Perturbation WACV 2021 Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization WACV 2020 Adapting Grad-CAM for Embedding Networks WACV 2020 Counterfactual Samples Synthesizing for Robust Visual Question Answering CVPR 2020 Generating Natural Counterfactual Visual Explanations IJCAI 2020 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract) AAAI 2020 Towards Visually Explaining Variational Autoencoders CVPR 2020 Attention Branch Network: Learning of Attention Mechanism for Visual Explanation CVPR 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Counterfactual Visual Explanations ICML 2019 Deliberative Explanations: visualizing network insecurities NeurIPS 2019 Grid Saliency for Context Explanations of Semantic Segmentation NeurIPS 2019 Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks CVPR 2019 Learning to Explain With Complemental Examples CVPR 2019 Self-Critical Reasoning for Robust Visual Question Answering NeurIPS 2019 U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps ICCV 2019 Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks ICLR 2019