Reconstruction bottlenecks in object-centric generative models
A range of methods with suitable inductive biases exist to learn interpretable object-centric representations of images without supervision. However, these are largely restricted to visually simple images; robust object discovery in real-world sensory datasets remains elusive. To increase the unders...
| Autori principali: | , , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
International Conference on Machine Learning
2020
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