Research map / 3D vision / 3D generation
CPM-Nets: Cross Partial Multi-View Networks
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| CPM-Nets instead of LMNN as missing rate increases | CPM-Nets · ORL, varying missing rate | accuracy: 98.4% vs 98.0% at no missing; gap larger with missing | Helped |
| increase missing rate from 0.0 to 0.3 | CPM-Nets · ORL | accuracy: decline less than 5% | Hurt |
| fill missing views with CRA imputation instead of class mean | compared baselines · six datasets, missing rate 0.5 | accuracy | Helped |
| CPM-Nets without imputation vs baselines with CRA imputation | CPM-Nets · six datasets, missing rate 0.5 | accuracy | Helped |
| add label-based clustering-like loss to representation learning (ablation) | CPM-Nets · Handwritten, missing rate 0.5 | cluster compactness (visualization) | Helped |
Closest papers by meaning
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding (AAAI 2024 · similarity 0.86)
- Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs (ICLR 2025 · similarity 0.86)
- Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering (AAAI 2024 · similarity 0.86)
- Rethinking Multi-view Representation Learning via Distilled Disentangling (CVPR 2024 · similarity 0.86)
- Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering (AAAI 2025 · similarity 0.86)
- EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering (CVPR 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.