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Models/SAM2-UNet

SAM2-UNet

Reported on 43 benchmarks across 3 tasks · 1 paper · 37 SOTA

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

Computer Vision29 results

Salient Object DetectiononECSSD
E-measure· 2024-08-16
0.97
best: 0.971 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononECSSD
MAE· 2024-08-16
0.02
best: 0.018 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononECSSD
S-measure· 2024-08-16
0.95
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUT-OMRON
E-measure· 2024-08-16
0.912
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUT-OMRON
MAE· 2024-08-16
0.039
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUT-OMRON
S-measure· 2024-08-16
0.884
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUTS-TE
E-measure· 2024-08-16
0.959
best: 0.965 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUTS-TE
MAE· 2024-08-16
0.02
best: 0.019 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononDUTS-TE
Smeasure· 2024-08-16
0.934
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononHKU-IS
E-measure· 2024-08-16
0.971
best: 0.974 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononHKU-IS
MAE· 2024-08-16
0.019
best: 0.018 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononHKU-IS
S-measure· 2024-08-16
0.941
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononPASCAL-S
E-measure· 2024-08-16
0.931
best: 0.942 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononPASCAL-S
MAE· 2024-08-16
0.043
best: 0.036 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Salient Object DetectiononPASCAL-S
S-measure· 2024-08-16
0.894
best: 0.898 (FOCUS)
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMAS3K
E-measure· 2024-08-16
0.943
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMAS3K
MAE· 2024-08-16
0.021
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMAS3K
S-measure· 2024-08-16
0.903
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMAS3K
mIoU· 2024-08-16
0.799
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonRMAS
S-measure· 2024-08-16
0.874
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMSD (Mirror Segmentation Dataset)
F-measure· 2024-08-16
0.957
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMSD (Mirror Segmentation Dataset)
IoU· 2024-08-16
0.918
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonMSD (Mirror Segmentation Dataset)
MAE· 2024-08-16
0.022
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonPMD
F-measure· 2024-08-16
0.826
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonPMD
IoU· 2024-08-16
0.728
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonPMD
MAE· 2024-08-16
0.027
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonRMAS
E-measure· 2024-08-16
0.944
best: 0.948 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonRMAS
MAE· 2024-08-16
0.022
best: 0.021 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
Image SegmentationonRMAS
mIoU· 2024-08-16
0.738
best: 0.742 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870

Audio14 results

2D Semantic SegmentationonMAS3K
E-measure· 2024-08-16
0.943
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMAS3K
MAE· 2024-08-16
0.021
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMAS3K
S-measure· 2024-08-16
0.903
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMAS3K
mIoU· 2024-08-16
0.799
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonRMAS
S-measure· 2024-08-16
0.874
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMSD (Mirror Segmentation Dataset)
F-measure· 2024-08-16
0.957
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMSD (Mirror Segmentation Dataset)
IoU· 2024-08-16
0.918
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonMSD (Mirror Segmentation Dataset)
MAE· 2024-08-16
0.022
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonPMD
F-measure· 2024-08-16
0.826
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonPMD
IoU· 2024-08-16
0.728
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonPMD
MAE· 2024-08-16
0.027
SOTA
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonRMAS
E-measure· 2024-08-16
0.944
best: 0.948 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonRMAS
MAE· 2024-08-16
0.022
best: 0.021 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870
2D Semantic SegmentationonRMAS
mIoU· 2024-08-16
0.738
best: 0.742 (MAS-SAM)
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation arXiv:2408.08870