RSP-Swin-T-FPN-ORCN

Reported on 5 benchmarks across 5 tasks · 1 paper

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

Methodology4 results

3DonHRSC2016
mAP-07· uses extra data· 2022-04-06
90
best: 90.89 (CDLA-HOP)
An Empirical Study of Remote Sensing Pretraining arXiv:2204.02825
2D ClassificationonHRSC2016
mAP-07· uses extra data· 2022-04-06
90
best: 90.89 (CDLA-HOP)
An Empirical Study of Remote Sensing Pretraining arXiv:2204.02825
2D Object DetectiononHRSC2016
mAP-07· uses extra data· 2022-04-06
90
best: 90.89 (CDLA-HOP)
An Empirical Study of Remote Sensing Pretraining arXiv:2204.02825
16konHRSC2016
mAP-07· uses extra data· 2022-04-06
90
best: 90.89 (CDLA-HOP)
An Empirical Study of Remote Sensing Pretraining arXiv:2204.02825

Computer Vision1 result

Object DetectiononHRSC2016
mAP-07· uses extra data· 2022-04-06
90
best: 90.89 (CDLA-HOP)
An Empirical Study of Remote Sensing Pretraining arXiv:2204.02825