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Multi-Object Datasets (https://github.com/deepmind/multi_object_datasets) post-processed for easy replication of the training and evaluation of the ICML'21 paper "Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations". Datasets for CLEVR6, Multi-dSprites, and Tetrominoes are in the .h5 format and split by training and test. Images and masks are provided for each. CLEVR6 also contains the ground truth latent factors for disentanglement evaluation. Unzip the provided zip file in the desired location.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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