APE

Reported on 5 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.

Methodology4 results

3DonDOTA
mAP· uses extra data· 2019-06-22
75.75
best: 80.03 (LEGNet-S)
SOTA
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images arXiv:1906.09447
2D ClassificationonDOTA
mAP· uses extra data· 2019-06-22
75.75
best: 80.03 (LEGNet-S)
SOTA
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images arXiv:1906.09447
2D Object DetectiononDOTA
mAP· uses extra data· 2019-06-22
75.75
best: 80.03 (LEGNet-S)
SOTA
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images arXiv:1906.09447
16konDOTA
mAP· uses extra data· 2019-06-22
75.75
best: 80.03 (LEGNet-S)
SOTA
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images arXiv:1906.09447

Computer Vision1 result

Object DetectiononDOTA
mAP· uses extra data· 2019-06-22
75.75
best: 80.03 (LEGNet-S)
SOTA
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images arXiv:1906.09447