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Models/Siamese Mask R-CNN

Siamese Mask R-CNN

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

3DonCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
16.3
best: 41.8 (OWL-ViT (R50+H/32))
SOTA
One-Shot Instance Segmentation arXiv:1811.11507
2D ClassificationonCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
16.3
best: 41.8 (OWL-ViT (R50+H/32))
SOTA
One-Shot Instance Segmentation arXiv:1811.11507
2D Object DetectiononCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
16.3
best: 41.8 (OWL-ViT (R50+H/32))
SOTA
One-Shot Instance Segmentation arXiv:1811.11507
16konCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
16.3
best: 41.8 (OWL-ViT (R50+H/32))
SOTA
One-Shot Instance Segmentation arXiv:1811.11507

Computer Vision2 results

Object DetectiononCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
16.3
best: 41.8 (OWL-ViT (R50+H/32))
SOTA
One-Shot Instance Segmentation arXiv:1811.11507
Instance SegmentationonCOCO (Common Objects in Context)
AP 0.5· 2018-11-28
14.5
SOTA
One-Shot Instance Segmentation arXiv:1811.11507