Office-31

Office Dataset

The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset consist of objects commonly encountered in office settings, such as keyboards, file cabinets, and laptops. The Amazon domain contains on average 90 images per class and 2817 images in total. As these images were captured from a website of online merchants, they are captured against clean background and at a unified scale. The DSLR domain contains 498 low-noise high resolution images (4288×2848). There are 5 objects per category. Each object was captured from different viewpoints on average 3 times. For Webcam, the 795 images of low resolution (640×480) exhibit significant noise and color as well as white balance artifacts. Source: Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors Image Source: https://www.researchgate.net/publication/310953258

Images

벤치마크

Domain Adaptation on Office-31 결과 41개

Universal Domain Adaptation on Office-31 결과 24개

Unsupervised Domain Adaptation on Office-31 결과 11개

Partial Domain Adaptation on Office-31 결과 7개

Multi-target Domain Adaptation on Office-31 결과 5개

Blended-target Domain Adaptation on Office-31 결과 2개

Open-Set Multi-Target Domain Adaptation on Office-31 결과 1개