paper-with-me

Interactive Segmentation 벤치마크

Interactive Segmentation on GrabCut

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NoC@90

1.32 4.138 6.955 9.773 12.59 2016-03 2026-09 DOS with GC — 6.08 (2016-03-13) DOS w/o GC — 12.59 (2016-03-13) RIS-Net — 5.0 (2017-10-01) Latent diversity — 4.79 (2018-06-01) CM guidance — 3.58 (2019-06-01) BRS — 3.6 (2019-06-01) IA+SA — 3.07 (2019-11-28) f-BRS-B (ResNet-34) — 2.46 (2020-01-28) RITM (HRNet18, C+L) — 1.54 (2021-02-12) RITM (HRNet18, SBD) — 2.04 (2021-02-12) UCP-Net — 2.76 (2021-09-15) EdgeFlow — 1.72 (2021-09-20) IA-FP-Net — 1.68 (2022-03-10) SimpleClick (ViT-L, C+L) — 1.4 (2022-10-20) SimpleClick (ViT-H, SBD) — 1.44 (2022-10-20) SimpleClick CFR-1 (ViT-H, SBD) — 1.32 (2023-03-09) ICL CFR-1 (ViT-H, SBD) — 1.42 (2023-03-09) ViT-B+MST+CL — 1.48 (2024-01-09) DOS with GC — 6.08 (2016-03-13) DOS w/o GC — 12.59 (2016-03-13)
RankModel NoC@90NoC@85NoC@95 PaperCodeYear
1 SimpleClick CFR-1 (ViT-H, SBD) 1.321.301.78 CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation TitorX/CFR-ICL-Interactive-Segmentation 2023
2 SimpleClick (ViT-L, C+L) 1.401.32– SimpleClick: Interactive Image Segmentation with Simple Vision Transformers uncbiag/simpleclick · yihanhu-2022/diffmatte 2022
3 ICL CFR-1 (ViT-H, SBD) 1.42–1.62 CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation TitorX/CFR-ICL-Interactive-Segmentation 2023
4 SimpleClick (ViT-H, SBD) 1.441.32– SimpleClick: Interactive Image Segmentation with Simple Vision Transformers uncbiag/simpleclick · yihanhu-2022/diffmatte 2022
5 ViT-B+MST+CL 1.48–– MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation hahamyt/mst 2024
6 RITM (HRNet18, C+L) 1.541.42– Reviving Iterative Training with Mask Guidance for Interactive Segmentation PaddlePaddle/PaddleSeg · mazurowski-lab/segment-anything-medical-evaluation · mazurowski-lab/segment-anything-medical · +2 2021
7 IA-FP-Net 1.68–– Cascaded Sparse Feature Propagation Network for Interactive Segmentation kleinzcy/csfpn 2022
8 EdgeFlow 1.721.6– EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow PaddlePaddle/PaddleSeg · PaddleCV-SIG/EISeg · ihomeava/PaddleSeg2 2021
9 RITM (HRNet18, SBD) 2.041.76– Reviving Iterative Training with Mask Guidance for Interactive Segmentation PaddlePaddle/PaddleSeg · mazurowski-lab/segment-anything-medical-evaluation · mazurowski-lab/segment-anything-medical · +2 2021
10 f-BRS-B (ResNet-34) 2.462– f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation PaddlePaddle/PaddleSeg · jpconnel/fbrs-segmentation 2020
11 UCP-Net 2.762– UCP-Net: Unstructured Contour Points for Instance Segmentation 2021
12 IA+SA 3.07–– Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections 2019
13 CM guidance 3.58–– Content-Aware Multi-Level Guidance for Interactive Instance Segmentation 2019
14 BRS 3.602.60– Interactive Image Segmentation via Backpropagating Refinement Scheme 2019
15 Latent diversity 4.793.20– Interactive Image Segmentation With Latent Diversity intel-isl/Intseg 2018
16 RIS-Net 5.00–– Regional Interactive Image Segmentation Networks 2017
17 DOS with GC 6.085.08– Deep Interactive Object Selection intel-isl/Intseg · IntelVCL/Intseg · KanchanIIT/Highly-Optimized-Interactive-Image-Segmentation 2016
18 DOS w/o GC 12.598.02– Deep Interactive Object Selection intel-isl/Intseg · IntelVCL/Intseg · KanchanIIT/Highly-Optimized-Interactive-Image-Segmentation 2016
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