MCFNet fuses ALBERT text features and ViT image features with dropout, L1/L2 regularization, hybrid self/cross attention, and multi-loss training, claiming state-of-the-art accuracy on Con-Text and Drink Bottle.
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MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification
MCFNet fuses ALBERT text features and ViT image features with dropout, L1/L2 regularization, hybrid self/cross attention, and multi-loss training, claiming state-of-the-art accuracy on Con-Text and Drink Bottle.