CIIR: Class-Indexed Interface Representation Learning
In brief
- CIIR builds a class-indexed address space to connect unpaired datasets.
- The model achieves 94.7% accuracy in address retrieval without supervision.
- Allows attaching new datasets without full retraining.
Researchers introduce CIIR, a modular multimodal learning framework that links heterogeneous datasets through a class-indexed address space. The model enables communication between unpaired datasets without instance matching or synchronization, while preserving their native formats.
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