A multimodal class-incremental learning method based on AudioCLIP with MoE adapters, adaptive audio-visual fusion, and a contrastive loss reports gains on three vision-audio-text datasets.
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Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion
A multimodal class-incremental learning method based on AudioCLIP with MoE adapters, adaptive audio-visual fusion, and a contrastive loss reports gains on three vision-audio-text datasets.