CORe
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Domain-Incremental Learning | CORe50 | Avg Accuracy (A)99.5 | 49 | |
| Few-Shot Class-Incremental Learning | CORe50 | BCR99.9 | 39 | |
| Downstream Performance Evaluation | CORE | CORE Score19.94 | 17 | |
| Cross-modal geo-localization | CORE Intercontinental-level Subset4 1.0 | R@151.35 | 15 | |
| Cross-modal geo-localization | CORE Intercontinental-level Subset3 1.0 | R@149.81 | 15 | |
| Cross-modal geo-localization | CORE Intercontinental-level Subset2 1.0 | R@164.74 | 15 | |
| Cross-modal geo-localization | CORE Intercontinental-level Subset1 1.0 | R@157.9 | 15 | |
| Cross-modal geo-localization | CORE World-level 1.0 (All) | R@155.84 | 15 | |
| Language Modeling | Core-Extended | Score17.08 | 8 | |
| Language Modeling | Core | Score28.44 | 8 | |
| Relation Classification | CORE | F1-Mic80 | 8 | |
| Comprehensive Optimization and Reasoning Evaluation | CORE | CORE Score25.14 | 4 |
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