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HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
In our paper, we propose a novel framework that for the first time combines the Modern Hopfield Network with a Mixture of Experts (HOMOE) to classify the compositions of previously unseen objects.
The Challenges of Image Generation Models in Generating Multi-Component Images
Recent advances in text-to-image generators have led to substantial capabilities in image generation.
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