Research map / Architectures and efficiency / CNN design
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace EM routing with straight-through attentive routing | EMCaps:{32,4,64,4,10} · MNIST | accuracy: 96.89 -> 99.49 | Helped |
| replace EM routing with straight-through attentive routing | EMCaps:{64,8,64,8,10} · MNIST | accuracy: 98.12 -> 99.57 | Helped |
| replace EM routing with straight-through attentive routing | EMCaps · SmallNorb | accuracy: 97.8% -> 98.0%; 98.2% -> 98.2% | No clear effect |
| replace EM routing with straight-through attentive routing | EMCaps · SmallNorb novel viewpoints | accuracy: 86.5 -> 86.3 | No clear effect |
| replace EM routing with straight-through attentive routing | EMCaps · CIFAR-10 | accuracy: 88.10% -> 91.23% | Helped |
| replace EM routing with straight-through attentive routing | EMCaps · CIFAR-100 | accuracy: 19% -> 67.66% | Helped |
| use capsule network instead of CNN on novel viewpoints | STAR-CAPS · SmallNorb novel viewpoints | accuracy: 80.0 -> 86.3 | Helped |
Closest papers by meaning
- Self-Routing Capsule Networks (NeurIPS 2019 · similarity 0.89)
- OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning (CVPR 2024 · similarity 0.89)
- DeepCaps: Going Deeper With Capsule Networks (CVPR 2019 · similarity 0.89)
- Capsules with Inverted Dot-Product Attention Routing (ICLR 2020 · similarity 0.88)
- Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption (AAAI 2023 · similarity 0.88)
- ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis (AAAI 2025 · similarity 0.86)
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