We propose StampNet, a novel autoencoding neural network that localizes shapes (objects) over a simple background in images and categorizes them simultaneously.

StampNet is a way for performing multi-class multi-object object discovery. Well, sort of, as it is designed to discover and cluster abstract shapes, ...

StampNet is proposed, a novel autoencoding neural network that localizes shapes (objects) over a simple background in images and categorizes them ...

In this work, we propose StampNet, a novel autoencoding neural network that localizes shapes (objects) over a simple background in images and categorizes them ...

ABSTRACT. Unsupervised object discovery in images involves uncovering recurring patterns that define objects and discriminates them against the background.

Sep 7, 2019 · PDF | On Sep 1, 2019, Joost Visser and others published Stampnet: Unsupervised Multi-Class Object Discovery | Find, read and cite all the ...

Unsupervised object discovery in images involves uncovering recurring patterns that define objects and discriminates them against the background. In this work, ...

Feb 10, 2019 · Unsupervised object discovery in images involves uncovering recurring patterns that define objects and discriminates them against the ...

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Sep 1, 2019 · In this work, we propose StampNet, a novel autoencoding neural network that localizes shapes (objects) over a simple background in images and ...