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Found 2 papers, 1 papers with code
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
To tackle this challenge, we propose bootstrap supervision; leveraging our object removal model trained on a small counterfactual dataset, we synthetically expand this dataset considerably.
Classifying Nodes in Graphs without GNNs
Recently, distillation methods succeeded in eliminating the use of GNNs at test time but they still require them during training.
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