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Models/IMP+MTP(InternImage-XL)

IMP+MTP(InternImage-XL)

Reported on 31 benchmarks across 9 tasks · 1 paper · 4 SOTA

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

Methodology19 results

Remote SensingonCDD Dataset (season-varying)
F1-Score· 2024-03-20
0.9833
best: 0.9842 (P2V-CD)
SOTA
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Remote SensingonLEVIR-CD
Params(M)· 2024-03-20
335
SOTA
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Remote SensingonLEVIR-CD
F1· 2024-03-20
92.54
best: 92.67 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
3DonDIOR
AP50· 2024-03-20
78
best: 81.1 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
3DonFAIR1M-2.0
mAP· 2024-03-20
50.93
best: 53 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
3DonxView
AP50· 2024-03-20
18.2
best: 19.4 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
3DonDIOR-R
mAP· 2024-03-20
72.17
best: 74.54 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D ClassificationonDIOR
AP50· 2024-03-20
78
best: 81.1 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D ClassificationonFAIR1M-2.0
mAP· 2024-03-20
50.93
best: 53 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D ClassificationonxView
AP50· 2024-03-20
18.2
best: 19.4 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D ClassificationonDIOR-R
mAP· 2024-03-20
72.17
best: 74.54 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D Object DetectiononDIOR
AP50· 2024-03-20
78
best: 81.1 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D Object DetectiononFAIR1M-2.0
mAP· 2024-03-20
50.93
best: 53 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D Object DetectiononxView
AP50· 2024-03-20
18.2
best: 19.4 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
2D Object DetectiononDIOR-R
mAP· 2024-03-20
72.17
best: 74.54 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
16konDIOR
AP50· 2024-03-20
78
best: 81.1 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
16konFAIR1M-2.0
mAP· 2024-03-20
50.93
best: 53 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
16konxView
AP50· 2024-03-20
18.2
best: 19.4 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
16konDIOR-R
mAP· 2024-03-20
72.17
best: 74.54 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430

Computer Vision8 results

Change DetectiononWHU Building Dataset
F1-score· 2024-03-20
0.9559
SOTA
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Change DetectiononCDD Dataset (season-varying)
F1-Score· uses extra data· 2024-03-20
98.33
best: 98.42 (P2V-CD)
SOTA
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Object DetectiononDIOR
AP50· 2024-03-20
78
best: 81.1 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Object DetectiononFAIR1M-2.0
mAP· 2024-03-20
50.93
best: 53 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Object DetectiononxView
AP50· 2024-03-20
18.2
best: 19.4 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Object DetectiononDIOR-R
mAP· 2024-03-20
72.17
best: 74.54 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Change DetectiononLEVIR-CD
F1· 2024-03-20
92.54
best: 92.87 (SChanger-base)
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Change DetectiononOSCD - 3ch
F1· 2024-03-20
55.61
best: 55.92 (MAE+MTP(ViT-L+RVSA))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430

Medical2 results

Semantic SegmentationonLoveDA
Category mIoU· 2024-03-20
54.17
best: 56.16 (U-Net (MaxViT-S))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
Semantic SegmentationonSpaceNet 1
Mean IoU· uses extra data· 2024-03-20
79.16
best: 79.69 (MAE+MTP(ViT-L))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430

Audio2 results

10-shot image generationonLoveDA
Category mIoU· 2024-03-20
54.17
best: 56.16 (U-Net (MaxViT-S))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430
10-shot image generationonSpaceNet 1
Mean IoU· uses extra data· 2024-03-20
79.16
best: 79.69 (MAE+MTP(ViT-L))
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining arXiv:2403.13430