Research map / Vision-language and multimodal / Cross-modal learning
Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add correlation constraint (deep CCA) between modalities (ablation) | CMSC-DCCA · Fashion-MNIST | ACC (%): 60.25 -> 62.95 | Helped |
| add self-expressive layer (ablation) | CMSC-DCCA · Fashion-MNIST | ACC (%): 55.75 -> 62.95 | Helped |
| add Deep CCA decoders (reconstruction) (ablation) | CMSC-DCCA · Fashion-MNIST | ACC (%): 50.50 -> 62.95 | Helped |
| add Deep CCA decoders (reconstruction) (ablation) | CMSC-DCCA · Fashion-MNIST | NMI (%): 52.77 -> 68.33 | Helped |
| CMSC-DCCA vs deep multi-modal subspace clustering DMSC | CMSC-DCCA · FRGC | ACC (%): 60.28 -> 70.80 | Helped |
| CMSC-DCCA vs DCCAE (adds shared self-expression of intra-modal data) | CMSC-DCCA · COIL-20 | ACC (%): 61.60 -> 82.64 | Helped |
Closest papers by meaning
- Exploring a Principled Framework for Deep Subspace Clustering (ICLR 2025 · similarity 0.87)
- Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning (ICLR 2024 · similarity 0.85)
- On Sparse Canonical Correlation Analysis (NeurIPS 2024 · similarity 0.85)
- Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering (AAAI 2025 · similarity 0.85)
- Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning (NeurIPS 2024 · similarity 0.84)
- Multi-Level Cross-Modal Alignment for Image Clustering (AAAI 2024 · similarity 0.84)
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