Methods › General › Domain Adaptation › MSGAN
Multi-source Sentiment Generative Adversarial Network
MSGAN
Introduced by Chuang Lin et al. in Multi-source Domain Adaptation for Visual Sentiment Classification
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Multi-source Sentiment Generative Adversarial Network is a multi-source domain adaptation (MDA) method for visual sentiment classification. It is composed of three pipelines, i.e., image reconstruction, image translation, and cycle-reconstruction. To handle data from multiple source domains, it learns to find a unified sentiment latent space where data from both the source and target domains share a similar distribution. This is achieved via cycle consistent adversarial learning in an end-to-end manner. Notably, thanks to the unified sentiment latent space, MSGAN requires a single classification network to handle data from different source domains.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network 14 Mar 2021 · 1 repository · arXiv:2103.07893Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
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Multi-source Domain Adaptation for Visual Sentiment Classification 12 Jan 2020 · 0 repositories · arXiv:2001.03886
Tasks archive 2025-07-28
9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Generative Adversarial Network | 2 |
| Classification | 1 |
| Contrastive Learning | 1 |
| Diversity | 1 |
| Domain Adaptation | 1 |
| General Classification | 1 |
| Image Generation | 1 |
| Sentiment Analysis | 1 |
| Sentiment Classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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