Research map / Label-efficient and robust learning / Semi-supervised learning
Self-Taught Metric Learning Without Labels
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use STML instead of ROUL | GoogleNet, 128-d · CUB-200-2011 | Recall@1: 56.7 -> 59.7 | Helped |
| Use STML instead of ROUL | GoogleNet, 128-d · Cars-196 | Recall@1: 45.0 -> 49.0 | Helped |
| Use STML instead of SAN | GoogleNet, 128-d · Stanford Online Product | Recall@1: 58.7 -> 65.8 | Helped |
Closest papers by meaning
- SLADE: A Self-Training Framework for Distance Metric Learning (CVPR 2021 · similarity 0.91)
- Unsupervised Metric Learning with Synthetic Examples (AAAI 2020 · similarity 0.89)
- Embedding Transfer With Label Relaxation for Improved Metric Learning (CVPR 2021 · similarity 0.89)
- Deep Metric Learning with Self-Supervised Ranking (AAAI 2021 · similarity 0.88)
- Learning Low-Dimensional Metrics (NeurIPS 2017 · similarity 0.87)
- Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections (NeurIPS 2025 · similarity 0.85)
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