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Models/HTC (ResNet-50)

HTC (ResNet-50)

Reported on 10 benchmarks across 5 tasks · 1 paper · 5 SOTA

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· 2019-01-22
19.1
best: 57.8 (EVA)
SOTA
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
2D ClassificationonCOCO-O
Average mAP· 2019-01-22
19.1
best: 57.8 (EVA)
SOTA
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
2D Object DetectiononCOCO-O
Average mAP· 2019-01-22
19.1
best: 57.8 (EVA)
SOTA
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
16konCOCO-O
Average mAP· 2019-01-22
19.1
best: 57.8 (EVA)
SOTA
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
3DonCOCO-O
Effective Robustness· 2019-01-22
0.08
best: 28.86 (EVA)
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
2D ClassificationonCOCO-O
Effective Robustness· 2019-01-22
0.08
best: 28.86 (EVA)
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
2D Object DetectiononCOCO-O
Effective Robustness· 2019-01-22
0.08
best: 28.86 (EVA)
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
16konCOCO-O
Effective Robustness· 2019-01-22
0.08
best: 28.86 (EVA)
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518

Computer Vision2 results

Object DetectiononCOCO-O
Average mAP· 2019-01-22
19.1
best: 57.8 (EVA)
SOTA
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518
Object DetectiononCOCO-O
Effective Robustness· 2019-01-22
0.08
best: 28.86 (EVA)
Hybrid Task Cascade for Instance Segmentation arXiv:1901.07518