CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Generalized Category Discovery (GCD) assigns unlabeled instances, mixed with labeled data, to known or novel categories, requiring human-like compositional reasoning: reusing primitives learned from known classes and deciding when new combinations imply new categories. Existing GCD methods operate on unstructured token...
Lu-Yao Tang, Jie-Wei Zheng, Kun-Ze Huang et al.
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