Research map / Label-efficient and robust learning / Knowledge distillation
Self-Decoupling and Ensemble Distillation for Efficient Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add DPED to segmentation training (ablation) | DeepLabV3-EfficientNet-B0 with SDES · CamVid | mIoU: 67.56 -> 68.13 | Helped |
| Add DFED to segmentation training (ablation) | DeepLabV3-EfficientNet-B0 with SDES · CamVid | mIoU: 67.56 -> 68.37 | Helped |
| Add both DPED and DFED (ablation) | DeepLabV3-EfficientNet-B0 with SDES · CamVid | mIoU: 67.56 -> 68.74 | Helped |
| Use a random category split instead of the more-to-less subset split (ablation) | SDES · CamVid | mIoU: 68.74 -> 68.19 | Hurt |
| Vary the DPED loss weight α (ablation) | SDES · CamVid | mIoU | Mixed |
| Vary the DFED loss weight β (ablation) | SDES · CamVid | mIoU | Mixed |
| Vary the feature selection ratio γ (ablation) | SDES · CamVid | mIoU | Mixed |
| Vary the number of expert decoders N (ablation) | SDES · CamVid | mIoU | Mixed |
Closest papers by meaning
- Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation (CVPR 2021 · similarity 0.91)
- SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization (NeurIPS 2025 · similarity 0.89)
- Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation (AAAI 2025 · similarity 0.88)
- Scaled Decoupled Distillation (CVPR 2024 · similarity 0.87)
- Multi-label Self Knowledge Distillation (AAAI 2025 · similarity 0.87)
- How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation (AAAI 2024 · similarity 0.86)
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