Explicit instance decomposition with per-class shared weights improves latent-transformer video prediction in the paper's experiments, but the claimed advantage is weakened by mismatched parameter counts and test-set temperature selection.
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On the Benefits of Instance Decomposition in Video Prediction Models
Explicit instance decomposition with per-class shared weights improves latent-transformer video prediction in the paper's experiments, but the claimed advantage is weakened by mismatched parameter counts and test-set temperature selection.