AI Knowledge Graph Links Ancient Chinese Building Texts, Photos and 3D Models
Researchers at Shanghai Jiao Tong University have built a multimodal knowledge graph that aligns historical Chinese architectural texts, field photographs ...
Researchers at Shanghai Jiao Tong University have built a multimodal knowledge graph that aligns historical Chinese architectural texts, field photographs ...
Researchers at the Beijing Institute of Technology show that adding expert-vetted relational graphic structure to AI models enables retrieval of ...
Researchers at Hanyang University have developed TACCO, a contrastive learning method that explicitly identifies and suppresses out-of-distribution actions to stabilize ...
Researchers in India show that training only a 2.4-million-parameter projection module on top of frozen CLIP encoders lifts fashion image-to-text ...
Researchers at Shanghai Maritime University have developed RPCV, a deep clustering method that uses transformer-based cross-view attention and entropy-constrained prototype ...
Researchers have developed CHIME, a framework that mitigates and measures hallucinations in zero-shot dense retrieval, showing that which hallucinations are ...
Researchers in India have built a four-part neural system that uses contrastive learning, graph refinement, and reinforcement learning to find ...
Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent ...
A new framework pairs momentum contrastive learning with the GATv2 graph attention network to detect rare, legally entangled financial credit ...
Researchers at Shanghai Maritime University have developed STTF, a self-supervised framework that fuses road network topology with multi-granularity temporal information ...
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© 2025 Scienmag - Science Magazine