{"schemaVersion":1,"target":{"type":"reading","id":"129de385e921e875f53c54bf6c9e7c52fe920de3ddbf23ed0ff71cea56c3df35","revision":"eea09bd1-1f19-4463-8f33-47f8f2707459","revisionKind":"publication-id","title":"arXiv cs.AI: DAUPNet models uncertainty in cross-domain segmentation","url":"https://escapemeridian.com/readings/arxiv-cs-ai-daupnet-models-uncertainty-in-cross-domain-129de385"},"source":{"type":"source","id":"https://arxiv.org/abs/2607.16308","revision":"2818882e82fc75a83a0be8a227a3a244c9339e40e0737e5b9063285188a219c9","revisionKind":"sha256-source-text","title":"DAUPNet: Domain-Aware Uncertainty Modeling for Reliable Prototype Discrimination in Cross-Domain Few-Shot Semantic Segmentation","url":"https://arxiv.org/abs/2607.16308"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}