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Unsupervised Object Segmentation
벤치마크
Unsupervised Object Segmentation on
ClevrTex
24개 결과 ·
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mIoU
0
19.89
39.79
59.69
79.58
2021-11
2026-11
GNM — 42.25 (2021-11-19)
DTI — 33.79 (2021-11-19)
eMORL — 30.17 (2021-11-19)
IODINE — 29.16 (2021-11-19)
SA — 22.58 (2021-11-19)
MONet — 19.78 (2021-11-19)
MN — 10.46 (2021-11-19)
SPACE — 9.14 (2021-11-19)
GenV2 — 7.93 (2021-11-19)
SPAIR — 0.0 (2021-11-19)
GNM — 42.25 (2021-11-19)
DTI — 33.79 (2021-11-19)
eMORL — 30.17 (2021-11-19)
IODINE — 29.16 (2021-11-19)
SA — 22.58 (2021-11-19)
MONet — 19.78 (2021-11-19)
MN — 10.46 (2021-11-19)
SPACE — 9.14 (2021-11-19)
GenV2 — 7.93 (2021-11-19)
SPAIR — 0.0 (2021-11-19)
AST-Seg-B3-CT — 79.58 (2022-05-26)
AST — 66.62 (2022-05-26)
AST-Seg-B3-CT — 79.58 (2022-05-26)
AST — 66.62 (2022-05-26)
GNM — 42.25 (2021-11-19)
AST-Seg-B3-CT — 79.58 (2022-05-26)
2021-11-19 — GNM: mIoU 42.25
2022-05-26 — AST-Seg-B3-CT: mIoU 79.58
Rank
Model
mIoU
MSE
Paper
Code
Year
1
AST-Seg-B3-CT
79.58±0.54
139±7
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
BrunoSauvalle/AST
2022
2
AST
66.62± 0.80
167± 1
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
BrunoSauvalle/AST
2022
3
GNM
42.25± 0.18
383± 2
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
4
DTI
33.79± 1.30
438± 22
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
5
eMORL
30.17± 2.60
347± 20
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
6
IODINE
29.16± 0.75
340± 3
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
7
SA
22.58± 2.07
254± 8
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
8
MONet
19.78± 1.02
146± 7
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
9
MN
10.46± 0.10
335± 1
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
10
SPACE
9.14± 3.46
298± 80
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
11
GenV2
7.93± 1.53
315±106
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
12
SPAIR
0.0 ± 0.0
1101± 2
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
13
AST-Seg-B3-CT
79.58±0.54
139±7
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
BrunoSauvalle/AST
2022
14
AST
66.62± 0.80
167± 1
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
BrunoSauvalle/AST
2022
15
GNM
42.25± 0.18
383± 2
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
16
DTI
33.79± 1.30
438± 22
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
17
eMORL
30.17± 2.60
347± 20
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
18
IODINE
29.16± 0.75
340± 3
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
19
SA
22.58± 2.07
254± 8
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
20
MONet
19.78± 1.02
146± 7
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
karazijal/clevrtex-generation
2021
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