With the rapid development of intelligent transportation systems, the challenge of achieving efficient and accurate multimodal traffic data transmission and collaborative processing in complex network ...

Designing systems capable of finding relevant cooking recipes given a user-submitted food image, or vice versa, cross-modal recipe retrieval has gained significant attention in recent years. Numerous ...

Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number ...

The top represents the brain network pipeline, where raw neurological data is systematically processed to extract meaningful representations. The bottom highlights the core self-supervised model, ...

AI has classically come in three forms, supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is where AI is given many example scenarios and the right answer for ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...