DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations
2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)（2024）
Key words
Visual Explanation,Counterfactual Explanations,Image Classification,Systematic Errors,Image Generation,Failure Modes,Semantic,Optimization Problem,Neuronal Activity,Additional Details,Diffusion Process,Multiple Classes,Diffusion Model,Natural Images,Object Classification,Latent Space,Target Class,Failure Cases,Optimization Framework,Variational Autoencoder,Adversarial Examples,Space Bar,Target Neurons,Wooden Table,ImageNet Classification,Pixel Spacing,Text Encoder
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