Ioannis Kakogeorgiou

SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers

2024

Unsupervised object-centric learning aims to decompose scenes into interpretable object entities, termed slots. Slot-based auto-encoders stand out as a prominent method for this task. Within them, crucial aspects include guiding the encoder to generate object-specific …