Mask-RCNN+

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology4 results

3DoniSAID
Average Precision· 2017-03-20
37.18
best: 47 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870
2D ClassificationoniSAID
Average Precision· 2017-03-20
37.18
best: 47 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870
2D Object DetectiononiSAID
Average Precision· 2017-03-20
37.18
best: 47 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870
16koniSAID
Average Precision· 2017-03-20
37.18
best: 47 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870

Computer Vision2 results

Object DetectiononiSAID
Average Precision· 2017-03-20
37.18
best: 47 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870
Instance SegmentationoniSAID
Average Precision· 2017-03-20
37.18
best: 40 (PANet++)
SOTA
Mask R-CNN arXiv:1703.06870