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Datasets/Office-Home

Office-Home

ImagesCustom (non-commercial research and educational purposes)Introduced 2017-01-01

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

Image Source: Wen et al

Benchmarks

Cross-Domain Few-Shot/AUROCDomain Adaptation/AccuracyDomain Adaptation/Avg accuracyDomain Adaptation/Average AccuracyDomain Adaptation/H-ScoreDomain Adaptation/Source-freeDomain Adaptation/VLMDomain Adaptation/Accuracy (%)Domain Generalization/Average AccuracyFew-Shot Learning/AUROCMeta-Learning/AUROCMulti-target Domain Adaptation/AccuracyTransfer Learning/AccuracyUniversal Domain Adaptation/H-ScoreUniversal Domain Adaptation/Source-freeUniversal Domain Adaptation/VLMUnsupervised Domain Adaptation/AccuracyUnsupervised Domain Adaptation/Avg accuracyUnsupervised Domain Adaptation/Average Accuracy

Related Benchmarks

Office-Home (RS-UT imbalance)/Domain Adaptation/Average Per-Class AccuracyOffice-Home (RS-UT imbalance)/Unsupervised Domain Adaptation/Average Per-Class Accuracy

Statistics

Papers
1,074
Benchmarks
19

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Tasks

Blended-target Domain AdaptationCross-Domain Few-ShotDomain AdaptationDomain GeneralizationFew-Shot LearningMeta-LearningMulti-Source Unsupervised Domain AdaptationMulti-target Domain AdaptationOpen-Set Multi-Target Domain AdaptationPartial Domain AdaptationTransfer LearningUniversal Domain AdaptationUnsupervised Domain Adaptationcross-domain few-shot learning