List your company

Weakly Supervised Object Localization on ImageNet-100 1.0 (test)

68.88Top-1 Loc Acc (Avg)Joint training BAS
28.247238.796149.34559.8939Sep 17, 2023

Evaluation results

MethodLinks
Joint training BASBackbone=InceptionV3, Note=Upper Bound2023.0968.88—78.74—80.14—
Joint training BASBackbone=MobileNetV1, Note=Upper Bound2023.0968.54—81.04—83.16—
FDCNetBackbone=InceptionV32023.0959.5256.969.7566.4671.4869.34
FDCNetBackbone=MobileNetV12023.0958.6358.6671.672.474.8276.94
FDCNet w/o compensationBackbone=MobileNetV12023.0958.257.9871.1671.6474.3776.22
FDCNet w/o compensationBackbone=InceptionV32023.0958.1254.9268.0564.5470.2167.63
CCIL + BASBackbone=MobileNetV12023.0946.4941.7258.7254.0861.9258.64
CCIL + BASBackbone=InceptionV32023.0946.3339.8455.2548.3857.3350.62
Rebalancing + BASBackbone=MobileNetV12023.0944.7840.7856.3952.9863.762.26
Rebalancing + BASBackbone=InceptionV32023.0939.740.4850.2753.6656.0662.04
AANets + BASBackbone=MobileNetV12023.0936.7932.1253.649.9865.7164.6
FOSTER + BASBackbone=MobileNetV12023.0936.632.248.243.9654.2549.84
FOSTER + BASBackbone=InceptionV32023.0936.238.144.1647.3848.9350.02
AANets + BASBackbone=InceptionV32023.0929.8127.0440.3338.2848.3649.16