AutoAMS: Automated attention-based multi-modal graph learning architecture search
Multi-modal attention mechanisms have been successfully used in multi-modal graph
learning for various tasks. However, existing attention-based multi-modal graph learning …
learning for various tasks. However, existing attention-based multi-modal graph learning …
[HTML][HTML] Self-supervised incremental learning of object representations from arbitrary image sets
Computing a comprehensive and robust visual representation of an arbitrary object or
category of objects is a complex problem. The difficulty increases when one starts from a set …
category of objects is a complex problem. The difficulty increases when one starts from a set …
De-noised Vision-language Fusion Guided by Visual Cues for E-commerce Product Search
In e-commerce applications vision-language multimodal transformer models play a pivotal
role in product search. The key to successfully training a multimodal model lies in the …
role in product search. The key to successfully training a multimodal model lies in the …