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20152026
most citedCutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

613 citations · 1.5k across the 47 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

stat.ML2017★ 41 cited

Towards Reverse-Engineering Black-Box Neural Networks

Seong Joon Oh, Max Augustin, Bernt Schiele +1

Many deployed learned models are black boxes: given input, returns output. Internal information about the model, such as the architecture, optimisation procedure, or training data,…

cs.CV2017★ 14 cited

Person Recognition in Personal Photo Collections

Seong Joon Oh, Rodrigo Benenson, Mario Fritz +1

People nowadays share large parts of their personal lives through social media. Being able to automatically recognise people in personal photos may greatly enhance user convenience…

cs.CV2017★ 17 cited

Generating Descriptions with Grounded and Co-Referenced People

Anna Rohrbach, Marcus Rohrbach, Siyu Tang +2

Learning how to generate descriptions of images or videos received major interest both in the Computer Vision and Natural Language Processing communities. While a few works have pr…

cs.CV2017★ 22 cited

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh, Mario Fritz, Bernt Schiele

Users like sharing personal photos with others through social media. At the same time, they might want to make automatic identification in such photos difficult or even impossible.…

cs.CV2017★ 31 cited

Exploiting saliency for object segmentation from image level labels

Seong Joon Oh, Rodrigo Benenson, Anna Khoreva +3

There have been remarkable improvements in the semantic labelling task in the recent years. However, the state of the art methods rely on large-scale pixel-level annotations. This…