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RRSIS-D

Benchmarks

Task NameDataset NameSOTA ResultTrend
Referring Remote Sensing Image SegmentationRRSIS-D (test)
Mean IoU (mIoU)71.91
57
Referring Expression Comprehension (RSREC)RRSIS-D (test)
Pr@0.576.96
29
Referring Remote Sensing Image SegmentationRRSIS-D (val)
mIoU (Mean IoU)68.1
28
Referring Expression SegmentationRRSIS-D
mIoU71.08
27
Region-level ClassificationRRSIS-D
Top-1 Accuracy82.89
21
Remote Sensing Referring Expression ComprehensionRRSIS-D RSREC (test)
Pr@0.345.71
19
Remote Sensing Referring Expression SegmentationRRSIS-D RSRES (test)
Pr@0.340.01
16
Remote Sensing Visual GroundingRRSIS-D official (test)
Acc@0.565.73
14
RSRESRRSIS-D
Precision @ IoU=0.352.71
10
RSRECRRSIS-D
PR@0.352.31
10
Visual GroundingRRSIS-D
mIoU76.66
10
Referring Expression SegmentationRRSIS-D (test)
gIoU50.97
8
Generalized Referring Expression SegmentationRRSIS-D
cIoU37.83
6
Remote Sensing Image GroundingRRSIS-D RSRES (test)
Pr@0.527.39
5
Remote Sensing Visual GroundingRRSIS-D (SOTA-T)
Accuracy @0.532.79
5
Remote Sensing Image GroundingRRSIS-D RSREC (test)
Pr@0.531.39
4
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