RNCDL

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

2D Object DetectiononLVIS v1.0 val
All mAP· 2022-10-19
6.92
best: 19.33 (Cooperative Foundational Models)
SOTA
Learning to Discover and Detect Objects arXiv:2210.10774
2D Object DetectiononLVIS v1.0 val
Known mAP· 2022-10-19
25
best: 42.08 (Cooperative Foundational Models)
SOTA
Learning to Discover and Detect Objects arXiv:2210.10774
2D Object DetectiononLVIS v1.0 val
Novel mAP· 2022-10-19
5.42
best: 17.42 (Cooperative Foundational Models)
SOTA
Learning to Discover and Detect Objects arXiv:2210.10774