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Models/InternImage-L (Cascade Mask R-CNN)

InternImage-L (Cascade Mask R-CNN)

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology8 results

3DonCOCO-O
Average mAP· 2022-11-10
37
best: 57.8 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
3DonCOCO-O
Effective Robustness· 2022-11-10
11.72
best: 28.86 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
2D ClassificationonCOCO-O
Average mAP· 2022-11-10
37
best: 57.8 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
2D ClassificationonCOCO-O
Effective Robustness· 2022-11-10
11.72
best: 28.86 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
2D Object DetectiononCOCO-O
Average mAP· 2022-11-10
37
best: 57.8 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
2D Object DetectiononCOCO-O
Effective Robustness· 2022-11-10
11.72
best: 28.86 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
16konCOCO-O
Average mAP· 2022-11-10
37
best: 57.8 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
16konCOCO-O
Effective Robustness· 2022-11-10
11.72
best: 28.86 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778

Computer Vision2 results

Object DetectiononCOCO-O
Average mAP· 2022-11-10
37
best: 57.8 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778
Object DetectiononCOCO-O
Effective Robustness· 2022-11-10
11.72
best: 28.86 (EVA)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions arXiv:2211.05778