Office-Home

Introduced by Venkateswara et al. in Deep Hashing Network for Unsupervised Domain Adaptation

Office-Home is a benchmark dataset for domain adaptation which contains 4 domains where each domain consists of 65 categories. The four domains are: Art – artistic images in the form of sketches, paintings, ornamentation, etc.; Clipart – collection of clipart images; Product – images of objects without a background and Real-World – images of objects captured with a regular camera. It contains 15,500 images, with an average of around 70 images per class and a maximum of 99 images in a class.

Source: Multi-component Image Translation for Deep Domain Generalization

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Benchmarks

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Task	Dataset Variant	Best Model
Domain Generalization	Office-Home	PromptStyler
Domain Adaptation	Office-Home	SKD
Universal Domain Adaptation	Office-Home	UniAM
Partial Domain Adaptation	Office-Home	EvoADA
Unsupervised Domain Adaptation	Office-Home	PMTrans
Transfer Learning	Office-Home	Ours TL-VGG16
Unsupervised Domain Adaptation	Office-Home (RS-UT imbalance)	Implicit Alignment
Multi-target Domain Adaptation	Office-Home	DCGCT
Blended-target Domain Adaptation	Office-Home	MCDA
Multi-Source Unsupervised Domain Adaptation	Office-Home	CMSDA
cross-domain few-shot learning	Office-Home	DAFOSNET