Reported on 4 benchmarks across 3 tasks · 2 papers
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Graphs2 results
- MAE· 2023-05-100.066best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
- Number of params· 2023-05-103842048best: 119529665 (HIG(pre-trained on PCQM4M))
Computer Vision2 results
- Rank-1· 2017-09-2584.14best: 98 (st-ReID(RE, RK))
- mAP· 2017-09-2563.41best: 96.21 (Unsupervised Pre-training (ResNet101+RK))