paper-with-me

Unsupervised Object Segmentation 벤치마크

Unsupervised Object Segmentation on ShapeStacks

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ARI-FG

0.7 0.73 0.76 0.79 0.82 2021-04 2026-11 GENESIS-V2 — 0.81 (2021-04-20) SlotAttention — 0.76 (2021-04-20) GENESIS — 0.7 (2021-04-20) MONET-G — 0.7 (2021-04-20) GENESIS-V2 — 0.81 (2021-04-20) SlotAttention — 0.76 (2021-04-20) GENESIS — 0.7 (2021-04-20) MONET-G — 0.7 (2021-04-20) AST — 0.82 (2022-05-26) AST — 0.82 (2022-05-26) GENESIS-V2 — 0.81 (2021-04-20) AST — 0.82 (2022-05-26)
RankModel ARI-FG PaperCodeYear
1 AST 0.82 Unsupervised Multi-object Segmentation Using Attention and Soft-argmax BrunoSauvalle/AST 2022
2 GENESIS-V2 0.81 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
3 SlotAttention 0.76 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
4 GENESIS 0.70 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
4 MONET-G 0.70 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
6 AST 0.82 Unsupervised Multi-object Segmentation Using Attention and Soft-argmax BrunoSauvalle/AST 2022
7 GENESIS-V2 0.81 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
8 SlotAttention 0.76 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
9 GENESIS 0.70 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
9 MONET-G 0.70 GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement applied-ai-lab/genesis · jinyangyuan/genesis 2021
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