Skip to content

Latest commit

 

History

History
13 lines (8 loc) · 456 Bytes

README.md

File metadata and controls

13 lines (8 loc) · 456 Bytes

Multiple image retrieval algorithms:

  1. K nearest neighbour (KNN)
  2. Locality-sensitive hashing (LSH)
  3. Deep stacked convolutional autoencoder (DCAE)
  4. Deep siamese convolutional autoencoder with adaptive euclidean loss (SDCAE)
  5. Winner takes all sparse convolutional autoencoder (WTA_CONV)

Data class - Allows for the data to be passed like the tensorflow MNIST data.

Metric fusion - Fuse multiple features together with minimal information loss