Abstract: Highlights•A unified framework with Trident network and cross-hybrid tasks is proposed.•The proposed method can expand its architecture to capture global and local features.•The refined framework learns both global and local features simultaneously.•The supervised contrastive and decouple position loss are embedded into the framework.
External IDs:dblp:journals/eswa/ZhaoSLTWZY25
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