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Interactive Segmentation
벤치마크
Interactive Segmentation on
DAVIS
15개 결과 ·
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·
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NoC@90
4.24
7.457
10.68
13.89
17.11
2016-03
2026-11
DOS with GC — 12.58 (2016-03-13)
DOS w/o GC — 17.11 (2016-03-13)
Latent diversity — 9.57 (2018-06-01)
BRS — 8.24 (2019-06-01)
f-BRS-B (ResNet-101) — 7.41 (2020-01-28)
RITM (HRNet-32, C+L) — 5.34 (2021-02-12)
RITM (HRNet18, SBD) — 5.74 (2021-02-12)
EdgeFlow — 5.77 (2021-09-20)
IA-FP-Net — 5.22 (2022-03-10)
FocalClick-B3-S2 — 4.52 (2022-04-06)
SimpleClick (ViT-H, C+L) — 4.7 (2022-10-20)
SimpleClick (ViT-H, SBD) — 5.34 (2022-10-20)
ICL CFR-1 (ViT-H, C+L) — 4.24 (2023-03-09)
ViT-B+MST+CL — 4.55 (2024-01-09)
DOS with GC — 12.58 (2016-03-13)
DOS w/o GC — 17.11 (2016-03-13)
2016-03-13 — DOS with GC: NoC@90 12.58
2016-03-13 — DOS w/o GC: NoC@90 17.11
Rank
Model
NoC@90
NoC@85
NoC@95
Extra Training Data
Paper
Code
Year
1
ICL CFR-1 (ViT-H, C+L)
4.24
3
7.50
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
TitorX/CFR-ICL-Interactive-Segmentation
2023
2
FocalClick-B3-S2
4.52
2.92
–
✓
FocalClick: Towards Practical Interactive Image Segmentation
XavierCHEN34/ClickSEG
2022
3
ViT-B+MST+CL
4.55
–
–
MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation
hahamyt/mst
2024
4
SimpleClick (ViT-H, C+L)
4.70
3.41
–
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
uncbiag/simpleclick
·
yihanhu-2022/diffmatte
2022
5
IA-FP-Net
5.22
4.03
–
Cascaded Sparse Feature Propagation Network for Interactive Segmentation
kleinzcy/csfpn
2022
6
RITM (HRNet-32, C+L)
5.34
4.11
–
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
PaddlePaddle/PaddleSeg
·
mazurowski-lab/segment-anything-medical-evaluation
·
mazurowski-lab/segment-anything-medical
·
+2
2021
6
SimpleClick (ViT-H, SBD)
5.34
4.20
–
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
uncbiag/simpleclick
·
yihanhu-2022/diffmatte
2022
8
RITM (HRNet18, SBD)
5.74
4.36
–
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
PaddlePaddle/PaddleSeg
·
mazurowski-lab/segment-anything-medical-evaluation
·
mazurowski-lab/segment-anything-medical
·
+2
2021
9
EdgeFlow
5.77
4.54
–
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
PaddlePaddle/PaddleSeg
·
PaddleCV-SIG/EISeg
·
ihomeava/PaddleSeg2
2021
10
f-BRS-B (ResNet-101)
7.41
5.04
–
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
PaddlePaddle/PaddleSeg
·
jpconnel/fbrs-segmentation
2020
11
BRS
8.24
5.58
–
Interactive Image Segmentation via Backpropagating Refinement Scheme
2019
12
Latent diversity
9.57
5.05
–
Interactive Image Segmentation With Latent Diversity
intel-isl/Intseg
2018
13
DOS with GC
12.58
9.03
–
Deep Interactive Object Selection
intel-isl/Intseg
·
IntelVCL/Intseg
·
KanchanIIT/Highly-Optimized-Interactive-Image-Segmentation
2016
14
DOS w/o GC
17.11
12.52
–
Deep Interactive Object Selection
intel-isl/Intseg
·
IntelVCL/Intseg
·
KanchanIIT/Highly-Optimized-Interactive-Image-Segmentation
2016
15
IA+SA
–
5.16
–
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
2019
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