Image Attribution
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Benchmarks
Most implemented
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Axiomatic Attribution for Deep Networks
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
A Unified Approach to Interpreting Model Predictions
RISE: Randomized Input Sampling for Explanation of Black-box Models
Papers
Representation and Reference Selection in Training-Free Synthetic Image Attribution
Synthetic image attribution aims at identifying the generator responsible for a given AI-generated image. Training-free reference-based attribution methods are easily scalable, since newly emerging generators can be inco…
Image AttributionOCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models
Interpreting the decisions of deep image classifiers remains challenging, particularly in black-box settings where model internals are inaccessible. We introduce OCCAM, a framework for open-set causal concept explanation…
Image AttributionImageAttributionBench: How Far Are We from Generalizable Attribution?
The rapid advancement of generative AI has enabled the creation of highly realistic and diverse synthetic images, posing critical challenges for image provenance and misinformation detection. This underscores the urgent …
Image AttributionSeeing What Shouldn't Be There: Counterfactual GANs for Medical Image Attribution
Ascription of an image gives insights into the objects that influence the classification of the whole image or its pixels towards a specific category. These insights help radiologists to visualize deformities in medical …
Image AttributionCGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding
Although Multimodal Large Language Models (MLLMs) have advanced rapidly, they still face notable challenges in fine-grained multi-image understanding, often exhibiting spatial hallucination, attention leakage, and failur…
Image AttributionIncreFA: Breaking the Static Wall of Generative Model Attribution
As AI generative models evolve at unprecedented speed, image attribution has become a moving target. New diffusion, adversarial and autoregressive generators appear almost monthly, making existing watermark, classifier a…
Incremental LearningImage Attribution