GENESIS-V2: inferring unordered object representations without iterative refinement
Advances in unsupervised learning of object-representations have culminated in the development of a broad range of methods for unsupervised object segmentation and interpretable object-centric scene generation. These methods, however, are limited to simulated and real-world datasets with limited vis...
Main Authors: | , , |
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Format: | Conference item |
Language: | English |
Published: |
Curran Associates
2022
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