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Arxiv
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Potential Field Based Deep Metric Learning
- A new approach to Deep Metric Learning (DML) is proposed.
- The approach represents the influence of each example by a continuous potential field.
- Attractive/repulsive potential fields are used to model interactions among embeddings.
- The proposed method outperforms state-of-the-art baselines on standard DML benchmarks.
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