Table 4 Comparison of time consumed (seconds) in the GIST1M dataset. We utilize 50,000 GIST to train hashing functions, and map 1 million GIST to 128-bit binary code during the online encoding procedure
From: Minimal residual ordinal loss hashing with an adaptive optimization mechanism
| Our method | OCH | KMH | ITQ | LSH | WhRank | QRank | |
|---|---|---|---|---|---|---|---|
| Online encoding | 8.5 | 8.0 | 46.0 | 8.3 | 8.1 | 8.4 | 58.6 |
| Offline training | 1861 | 1572 | 1382 | 75 | 2 | 569 | 1183 |