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Unsupervised Object Segmentation

4 papers with code · Computer Vision

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Unsupervised Object Segmentation by Redrawing

NeurIPS 2019 mickaelChen/ReDO

Object segmentation is a crucial problem that is usually solved by using supervised learning approaches over very large datasets composed of both images and corresponding object masks.

SEMANTIC SEGMENTATION UNSUPERVISED OBJECT SEGMENTATION

Unsupervised Object Segmentation by Redrawing

NeurIPS 2019 mickaelChen/ReDO

Object segmentation is a crucial problem that is usually solved by using supervised learning approaches over very large datasets composed of both images and corresponding object masks.

SEMANTIC SEGMENTATION UNSUPERVISED OBJECT SEGMENTATION

Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models

8 Jun 2020anvoynov/BigGANsAreWatching

However, since generative models are known to be unstable and sensitive to hyperparameters, the training of these methods can be challenging and time-consuming.

SALIENCY DETECTION SEMANTIC SEGMENTATION UNSUPERVISED OBJECT SEGMENTATION

Object Discovery with a Copy-Pasting GAN

27 May 2019basilevh/object-discovery-cp-gan

We tackle the problem of object discovery, where objects are segmented for a given input image, and the system is trained without using any direct supervision whatsoever.

OBJECT DISCOVERY UNSUPERVISED OBJECT SEGMENTATION