PANet+

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Methodology4 results

3DoniSAID
Average Precision· 2019-05-30
46.31
best: 47 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886
2D ClassificationoniSAID
Average Precision· 2019-05-30
46.31
best: 47 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886
2D Object DetectiononiSAID
Average Precision· 2019-05-30
46.31
best: 47 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886
16koniSAID
Average Precision· 2019-05-30
46.31
best: 47 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886

Computer Vision2 results

Object DetectiononiSAID
Average Precision· 2019-05-30
46.31
best: 47 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886
Instance SegmentationoniSAID
Average Precision· 2019-05-30
39.54
best: 40 (PANet++)
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images arXiv:1905.12886