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ResearchFormerly WizWand

Single Object Detection on Pascal VOC 2012 (mIoU)

45.59mIoUPromptHub
-1.719610.562722.84535.1273Sep 1, 2022Apr 4, 2023Nov 6, 2023Jun 9, 2024Jan 11, 2025Aug 15, 2025Mar 19, 2026
Updated 7mo ago

Evaluation results

MethodLinks
PromptHubLearning Paradigm=Prompt Fusion, Number of Prompts (N)=162026.0345.59
CONDENSERLearning Paradigm=Prompt Fusion, Number of Prompts (N)=162026.0344.64
PromptHubLearning Paradigm=Prompt Fusion, Number of Prompts (N)=12026.0344.51
CONDENSERLearning Paradigm=Prompt Fusion, Number of Prompts (N)=12026.0343.22
InMeMoLearning Paradigm=PEFT2026.0343.21
Partial2GlobalLearning Paradigm=Retriever Training2026.0330.66
SupPRLearning Paradigm=Retriever Training2026.0328.22
Prompt-SelFLearning Paradigm=Zero-Shot2026.0328.08
UnsupPRLearning Paradigm=Zero-Shot2026.0326.84
RandomLearning Paradigm=Zero-Shot2026.0325.45
MAE-VQGANPre-training=Figures dataset2022.0925.36
MAE-VQGANPre-training=Figures dataset2022.0925.23
MAE-VQGANPre-training=Figures dataset2022.0924.19
Copybaseline=true2022.0913.03
Copybaseline=true2022.0912.38
Copybaseline=true2022.0912.14
MAEPre-training=Figures dataset2022.095.84
MAEPre-training=Figures dataset2022.095.49
MAEPre-training=Figures dataset2022.095.24
VQGANPre-training=IN-1k2022.095.19
VQGANPre-training=IN-1k2022.095.1
VQGANPre-training=IN-1k2022.095.09
MAE-VQGANPre-training=IN-1k2022.093.34
MAE-VQGANPre-training=IN-1k2022.092.8
MAE-VQGANPre-training=IN-1k2022.092.8
VQGANPre-training=Figures dataset2022.092.48
VQGANPre-training=Figures dataset2022.092.27
VQGANPre-training=Figures dataset2022.091.99
MAEPre-training=IN-1k2022.091.62
MAEPre-training=IN-1k2022.091.62
MAEPre-training=IN-1k2022.091.37
BEITPre-training=IN-21k2022.090.24
BEITPre-training=IN-21k2022.090.19
BEITPre-training=Figures dataset2022.090.17
BEITPre-training=Figures dataset2022.090.16
BEITPre-training=Figures dataset2022.090.14
BEITPre-training=IN-21k2022.090.1