VDSH
Reported on 3 benchmarks across 2 tasks · 2 papers · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology4 results
- Precision@100· 2017-08-11SOTA0.4354best: 0.441 (B-VAE)
- Precision@100· 2017-08-11SOTA0.7753
- Precision@100· uses extra data0.319best: 0.441 (B-VAE)
- Precision@1000.556best: 0.7753
Computer Vision1 result
- Precision@100· 2020-07-170.867best: 0.91 (SSB-VAE)