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ResearchFormerly WizWand

Foreground Segmentation on Pascal-5i (3)

66.98mIoULaVin-DiT
-1.691216.136933.96551.7931Sep 1, 2022Apr 7, 2023Nov 12, 2023Jun 17, 2024Jan 22, 2025Aug 28, 2025Apr 4, 2026
Updated 6mo ago

Evaluation results

MethodLinks
LaVin-DiTParameters=7B2024.1166.98
LVMParameters=7B2024.1147.66
RH-Partial2Global w/ votingRef.=NIPS 2025, Voting Strategy=Yes2026.0440.9
Partial2Global w/ votingRef.=NIPS 2024, Voting Strategy=Yes2026.0440.22
Prompt-SelFRef.=TIP 2025, Voting Strategy=Yes2026.0438.5
LaPR w/ votingRef.=CVPR 2026, Voting Strategy=Yes2026.0438.3
LaPRRef.=CVPR 2026, Voting Strategy=No2026.0437.63
RH-Partial2GlobalRef.=NIPS 2025, Voting Strategy=No2026.0436.6
UnsupPR w/ votingRef.=NIPS 2023, Voting Strategy=Yes2026.0436.44
Partial2GlobalRef.=NIPS 2024, Voting Strategy=No2026.0436.01
SupPRRef.=NIPS 2023, Voting Strategy=No2026.0432.32
UnsupPRRef.=NIPS 2023, Voting Strategy=No2026.0431.16
Zhu et al.Ref.=AAAI 2025, Voting Strategy=No2026.0430.84
MAE-VQGAN2024.1126.15
MAE-VQGANPre-training=Figures dataset2022.0924.25
RandomRef.=NIPS 2022, Voting Strategy=No2026.0423.55
MAE2024.1118.64
MAEPre-training=Figures dataset2022.0916.53
Copybaseline=true2022.0915.29
VQGANPre-training=Figures dataset2022.0915.06
VQGANPre-training=IN-1k2022.099.43
MAE-VQGANPre-training=IN-1k2022.096.28
MAEPre-training=IN-1k2022.094.57
BEITPre-training=Figures dataset2022.093.29
BEITPre-training=IN-21k2022.090.95