Datasets › UDE-Office-Home

UDE-Office-Home

Introduced by Jie Wang et al. in Unsupervised Domain Expansion for Visual Categorization1 Apr 2021 archive 2025-07-28

Different from the setting of domain adaptation which uses all labeled source and unlabeled target domain examples for training, domain examples should be divided into two disjoint parts: training and test. UDE-Office-Home is built from Office-Home, so the performance of domain-adapted or domain-expanded models on the source and target domain can be evaluated.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Unsupervised Domain Expansion UDE-Office-Home KDDE 1:1 Accuracy 72.67 Unsupervised Domain Expansion for Visual Categorization theeighthday/co-teaching +1 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Unsupervised Domain Expansion for Visual Categorization 2 1 1 Apr 2021 ran 3 of 11 samples (8 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • UDE-Office-Home

1 variant name, as the archive lists them.

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