A feature-based Lie group transformer learns to categorize object motion into two transformations and to segment the moving object from a static background without supervision.
Infogan: Interpretable representation learning by information maximizing generative adversarial nets,
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Feature-Based Lie Group Transformer for Real-World Applications
A feature-based Lie group transformer learns to categorize object motion into two transformations and to segment the moving object from a static background without supervision.