Papers › Disjoint Label Space Transfer Learning with Common Factorised Space
Disjoint Label Space Transfer Learning with Common Factorised Space
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
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 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 |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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