Research map / 3D vision / 3D generation
MetaViewer: Towards a Unified Multi-View Representation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view clustering · BDGP | ACC: 0.8800 -> 0.9040 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view clustering · Handwritten | ACC: 0.6625 -> 0.8625 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view clustering · RGB-D | ACC: 0.5300 -> 0.5700 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view clustering · Fashion-MV | ACC: 0.8320 -> 0.8540 | Helped |
| Use MetaViewer with reconstruction-only outer-level loss instead of the strongest listed baseline | Multi-view clustering · MSRA | ACC: 0.6429 -> 0.7143 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view clustering · Caltech101-20 | ACC: 0.3659 -> 0.4512 | Helped |
| Use MetaViewer with reconstruction-only outer-level loss instead of the strongest listed baseline | Multi-view classification · BDGP | ACC: 0.9865 -> 0.9860 | No clear effect |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view classification · Handwritten | ACC: 0.9725 -> 0.9775 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view classification · RGB-D | ACC: 0.4400 -> 0.5600 | Helped |
| Use MetaViewer with contrastive outer-level loss instead of the strongest listed baseline | Multi-view classification · Fashion-MV | ACC: 0.9650 -> 0.9770 | Helped |
| Use MetaViewer with reconstruction-only outer-level loss instead of the strongest listed baseline | Multi-view classification · MSRA | ACC: 0.9048 -> 0.9371 | Helped |
| Use MetaViewer with reconstruction-only outer-level loss instead of the strongest listed baseline | Multi-view classification · Caltech101-20 | ACC: 0.9248 -> 0.9228 | No clear effect |
Closest papers by meaning
- Rethinking Multi-view Representation Learning via Distilled Disentangling (CVPR 2024 · similarity 0.87)
- Deep Embedded Complementary and Interactive Information for Multi-View Classification (AAAI 2020 · similarity 0.87)
- Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs (ICLR 2025 · similarity 0.86)
- Enhanced then Progressive Fusion with View Graph for Multi-View Clustering (CVPR 2025 · similarity 0.86)
- SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning (CVPR 2025 · similarity 0.85)
- OpenViewer: Openness-Aware Multi-View Learning (AAAI 2025 · similarity 0.84)
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