Papers › Disjoint Label Space Transfer Learning with Common Factorised Space

Disjoint Label Space Transfer Learning with Common Factorised Space

6 Dec 2018arXiv:1812.02605archive 2025-07-28

Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

In this paper, a unified approach is presented to transfer learning that addresses several source and target domain label-space and annotation assumptions with a single model. It is particularly effective in handling a challenging case, where source and target label-spaces are disjoint, and outperforms alternatives in both unsupervised and semi-supervised settings. The key ingredient is a common representation termed Common Factorised Space. It is shared between source and target domains, and trained with an unsupervised factorisation loss and a graph-based loss. With a wide range of experiments, we demonstrate the flexibility, relevance and efficacy of our method, both in the challenging cases with disjoint label spaces, and in the more conventional cases such as unsupervised domain adaptation, where the source and target domains share the same label-sets.

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Tasks

Domain AdaptationTransfer LearningUnsupervised Domain Adaptation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Unsupervised Domain Adaptation Duke to Market CFSM mAP 28.3 #22 of 26 Archive leaderboard report
Unsupervised Domain Adaptation Duke to Market CFSM rank-1 61.2 #22 of 26 Archive leaderboard report
Unsupervised Domain Adaptation Duke to Market CFSM rank-10 - #22 of 26 Archive leaderboard report
Unsupervised Domain Adaptation Duke to Market CFSM rank-5 - #22 of 26 Archive leaderboard report
Unsupervised Domain Adaptation Market to Duke CFSM mAP 27.3 #21 of 25 Archive leaderboard report
Unsupervised Domain Adaptation Market to Duke CFSM rank-1 49.8 #21 of 25 Archive leaderboard report
Unsupervised Domain Adaptation Market to Duke CFSM rank-10 - #21 of 25 Archive leaderboard report
Unsupervised Domain Adaptation Market to Duke CFSM rank-5 - #21 of 25 Archive leaderboard report

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