📝Awesome and classical image retrieval papers
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Yong Yuan e289292008
Update README.md
2017-12-01 09:06:50 +08:00
README.md Update README.md 2017-12-01 09:06:50 +08:00

README.md

Awesome image retrieval papers

Local Feature Based

Deep Learning Feature Based

  • Practical and Optimal LSH for Angular Distance
  • pq-fast-scan
  • faiss. A library for efficient similarity search and clustering of dense vectors.
  • Polysemous codes
  • lopq. Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
  • nns_benchmark. Benchmark of Nearest Neighbor Search on High Dimensional Data.
  • Optimized Product Quantization
  • Falconn. FAst Lookups of Cosine and Other Nearest Neighbors.
  • Annoy. Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
  • NMSLIB. Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Industry CBIR

Feature fusion

Feature Matching

Plan to read

  • VisualRank: Applying PageRank to Large-Scale Image Search

Tutorials

Useful Package