Stanford Online Products Retrieval Leaderboard

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Value References

Numbers in the ‘Reference’ column indicate the reference webpages and papers for each model’s values.

  1. Making Classification Competitive for Deep Metric Learning
  2. Batch Feature Erasing for Person Re-identification and Beyond
  3. Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
  4. Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer
  5. Heated-Up Softmax Embedding
  6. Combination of Multiple Global Descriptors for Image Retrieval
  7. Hardness-Aware Deep Metric Learning
  8. Improved Embeddings with Easy Positive Triplet Mining


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