Search Results for author: Yeonghwan Song

Found 1 papers, 1 papers with code

Unsupervised Object Localization with Representer Point Selection

1 code implementation ICCV 2023 Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son

We propose a novel unsupervised object localization method that allows us to explain the predictions of the model by utilizing self-supervised pre-trained models without additional finetuning.

Object Unsupervised Object Localization

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