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Object Attribute Prediction on VAW 1.0 (test)

68.52mAPOvarNet
55.915259.187662.4665.7324Jun 17, 2021Sep 22, 2021Dec 29, 2021Apr 5, 2022Jul 12, 2022Oct 17, 2022Jan 23, 2023

Evaluation results

MethodLinks
OvarNetEvaluation Setting=box-given, Training Data=+COCO Cap-sub2023.0168.52—————————————69.856.43
SB + SCONEalgorithm=SCONE2021.0668.358.371.570.376.564.84870.475.668.369.468.460.769.5——
SCONETraining Data=fully supervised2023.0168.3———————————————
OvarNetEvaluation Setting=box-given, Training Data=+CC 3M-sub2023.0167.96—————————————69.355.44
OvarNetEvaluation Setting=box-free, Training Data=+COCO Cap-sub2023.0167.62—————————————68.9355.47
OvarNetEvaluation Setting=box-given, Training Data=COCO-base + VAW-base2023.0166.85—————————————68.2753.75
OvarNetEvaluation Setting=box-free, Training Data=+CC 3M-sub2023.0166.75—————————————67.3254.26
OvarNetEvaluation Setting=box-free, Training Data=COCO-base + VAW-base2023.0166.03—————————————67.7153.42
Strong Baseline (SB)2021.0665.952.969.565.373.662.54664.568.967.165.766.157.268.7——
TAPTraining Data=fully supervised2023.0165.4———————————————
Sarafianos et al.2021.0664.651.168.364.672.561.542.962.968.864.965.762.356.667.4——
ML-GCN2021.066352.869.564.170.859.842.759.164.765.264.262.854.766.5——
ResNet-BaselineBackbone=ResNet2021.066352.168.663.971.159.44358.566.36564.563.153.166.7——
Partial-BCE + GNN2021.0662.352.368.963.970.158.740.157.766.564.165.159.354.465.9——
LSEP2021.066150.767.162.369.157.340.956.167.163.161.458.750.764.9——
ResNet-Baseline-CEBackbone=ResNet, Loss=Cross-Entropy2021.0656.455.850.361.564.652.735.95464.655.956.954.647.559.2——