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Compositional Zero-Shot Learning

2 papers with code · Computer Vision
Subtask of Zero-Shot Learning

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Attributes as Operators: Factorizing Unseen Attribute-Object Compositions

ECCV 2018 Tushar-N/attributes-as-operators

In addition, we show that not only can our model recognize unseen compositions robustly in an open-world setting, it can also generalize to compositions where objects themselves were unseen during training.

COMPOSITIONAL ZERO-SHOT LEARNING

Symmetry and Group in Attribute-Object Compositions

1 Apr 2020DirtyHarryLYL/SymNet

To model the compositional nature of these general concepts, it is a good choice to learn them through transformations, such as coupling and decoupling.

COMPOSITIONAL ZERO-SHOT LEARNING