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Source Domain Dataset Condensation for Unsupervised Deep Domain Adaptation : Benchmarks of UDA algorithms with condensed inputs and analysis of domain invariance

open access: yes
Moderna djupinlärningsapplikationer kräver stora mängder data. Fine-tuning möjliggör kun- skapsdelning mellan algoritmer, vilket ger bredare tillgång till maskininlärning utan att kräva omfattande beräkningsresurser för att träna på stora datamängder.
openaire   +1 more source

BL-UDA: Towards Unsupervised Domain-Adaptive Surgical Instrument Segmentation with Source Box Labels

open access: yesProceedings of the 2026 International Conference on Multimedia Retrieval
Ziyuan Zhao   +8 more
openaire   +1 more source

Unsupervised Class Generation to Expand Semantic Segmentation Datasets. [PDF]

open access: yesJ Imaging
Montalvo J   +3 more
europepmc   +1 more source

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