CSL

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Metric LearningonDyML-Vehicle
Average-mAP· 2021-03-22
12.1
best: 37 (HAPPIER)
SOTA
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales arXiv:2103.11781
Metric LearningonDyML-Animal
Average-mAP· 2021-03-22
31
best: 43.8 (HAPPIER)
SOTA
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales arXiv:2103.11781
Metric LearningonDyML-Product
Average-mAP· uses extra data· 2021-03-22
28.7
best: 38 (HAPPIER)
SOTA
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales arXiv:2103.11781