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Benchmarks
Semantic Segmentation on GraspNet
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92.5
mIoU
Full FT (SAM 2-L)
43.932
56.541
69.15
81.759
May 25, 2026
mIoU
Updated 8d ago
Evaluation Results
Method
Method
Links
mIoU
Full FT (SAM 2-L)
Params=224M
2026.05
92.5
Full FT (SAM ViT-H)
Params=632M
2026.05
91.4
RepSAM
Params=4.0M
2026.05
89
VeRA
Params=0.9M
2026.05
81.8
DoRA
Params=4.1M
2026.05
81.5
AdaLoRA
Params=4.5M
2026.05
79.8
HQ-SAM
Params=610M
2026.05
79.8
LoRA (uniform r=8)
Params=4.2M
2026.05
74.5
SAM-DSA
Params=5.1M
2026.05
73.1
FastSAM
Params=68M
2026.05
71.4
SAM-Adapter
Params=4.8M
2026.05
71.3
EfficientSAM
Params=13M
2026.05
64.8
MobileSAM
Params=10M
2026.05
61.9
SAM 2-L (zero-shot)
Params=224M
2026.05
50.2
SAM ViT-H (zero-shot)
Params=—
2026.05
45.8
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