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Object Detection on MS COCO (test)

63.3APNo Attack
5.78820.71935.6550.581Nov 22, 2017Oct 29, 2018Oct 6, 2019Sep 11, 2020Aug 19, 2021Jul 26, 2022Jul 3, 2023

Evaluation results

MethodLinks
No AttackSurrogate Model=None, Victim Model=D2ETR2022.0963.3—————————
No AttackSurrogate Model=None, Victim Model=DETR2022.0960.7—————————
No AttackSurrogate Model=None, Victim Model=FRCN2022.0958.2—————————
No AttackSurrogate Model=None, Victim Model=RNet2022.0955.4—————————
RB-FPNBackbone=ResNet-50, Input size=512x5122020.1244.3—65.1——32.148.225.147.356.8
NAS-FPNBackbone=ResNet-50, Input size=1024x10242020.1244.2—————————
DiRISP Model=ISP [39]2023.0743.3—63.9———46.4———
GAPSurrogate Model=VGG19, Victim Model=FRCN2022.0942.4—————————
Sequential-tunedISP Model=ISP [39]2023.0742.3—62.8———45.2———
GAPSurrogate Model=VGG19, Victim Model=D2ETR2022.0941—————————
Attention-awareISP Model=ISP [39]2023.0741—61———44.1———
GAPSurrogate Model=Res152, Victim Model=D2ETR2022.0940.8—————————
GAPSurrogate Model=VGG19, Victim Model=RNet2022.0940.4—————————
TAPSurrogate Model=Res152, Victim Model=FRCN2022.0940—————————
GAPSurrogate Model=Res152, Victim Model=FRCN2022.0938.9—————————
TAPSurrogate Model=VGG19, Victim Model=FRCN2022.0938.4—————————
GAPSurrogate Model=Res152, Victim Model=DETR2022.0936.3—————————
GAPSurrogate Model=Res152, Victim Model=RNet2022.0936.2—————————
GAPSurrogate Model=VGG19, Victim Model=DETR2022.0936—————————
TAPSurrogate Model=Res152, Victim Model=D2ETR2022.0935—————————
TAPSurrogate Model=Res152, Victim Model=RNet2022.0934.8—————————
BIASurrogate Model=VGG19, Victim Model=FRCN2022.0934.7—————————
EfficientDet-D0Backbone=EfficientNet [48], Input size=512x5122020.1234.6—53———37.1———
BFMBackbone=VGG16, Input size=512x5122020.1234.6—58.6——31.436.718.636.544.3
TAPSurrogate Model=VGG19, Victim Model=RNet2022.0934—————————
NIFF-DeFRCNShots=302023.0333.3——37.720—————
FPN-BPNBackbone=VGG16, Input size=512x5122020.1233.1—53.1——18.936.315.73744.2
BIASurrogate Model=Res152, Victim Model=FRCN2022.0932.1—————————
NIFF-DeFRCNShots=102023.0332.1——36.818—————
TAPSurrogate Model=VGG19, Victim Model=D2ETR2022.0932—————————
BIASurrogate Model=VGG19, Victim Model=RNet2022.0931.8—————————
CFA-DeFRCNShots=302023.0331.7——34.623—————
DeFRCNShots=302023.0331.4——34.821.2—————
CFA w/ cosShots=302023.0331.1——36.614.8—————
NIFF-DeFRCNShots=52023.0331.1——36.614.6—————
CFA w/ fcShots=302023.0330.8——36.613.6—————
CDASurrogate Model=Res152, Victim Model=FRCN2022.0930.5—————————
CFA w/ cosShots=102023.0330.2——36.611.2—————
CFA-DeFRCNShots=102023.0330.2——3418.8—————
CFA w/ fcShots=102023.0329.9——36.79.6—————
DeFRCNShots=102023.0329.7——3416.8—————
FPN-BPNBackbone=VGG16, Input size=320x3202020.1229.6—48.4——32.432.39.632.544.3
CFA w/ cosShots=52023.0329.3——369.2—————
CFA w/ fcShots=52023.0329.1——36.27.7—————
TAPSurrogate Model=Res152, Victim Model=DETR2022.0928.8—————————
TFA w/ cosShots=302023.0328.7——34.212.1—————
TFA w/ fcShots=302023.0328.4——33.812—————
CFA-DeFRCNShots=52023.0328.4——32.815.2—————
BIASurrogate Model=VGG19, Victim Model=D2ETR2022.0928.1—————————
CDASurrogate Model=Res152, Victim Model=D2ETR2022.0928.1—————————
DeFRCNShots=52023.0327.8——32.613.6—————
CDASurrogate Model=VGG19, Victim Model=FRCN2022.0927.6—————————
TAPSurrogate Model=VGG19, Victim Model=DETR2022.0927.5—————————
BIASurrogate Model=Res152, Victim Model=RNet2022.0927.5—————————
CDASurrogate Model=Res152, Victim Model=RNet2022.0927.4—————————
TFA w/ cosShots=102023.0326.6——32.49.1—————
TFA w/ fcShots=102023.0326.2——329.1—————
TFA w/ cosShots=52023.0325.9——32.37—————
CDASurrogate Model=Res152, Victim Model=DETR2022.0925.6—————————
BIASurrogate Model=Res152, Victim Model=D2ETR2022.0925.6—————————
TFA w/ fcShots=52023.0325.6——31.86.9—————
BIASurrogate Model=VGG19, Victim Model=DETR2022.0925.3—————————
CDASurrogate Model=VGG19, Victim Model=RNet2022.0925—————————
CDASurrogate Model=VGG19, Victim Model=D2ETR2022.0924.4—————————
GAMASurrogate Model=VGG19, Victim Model=FRCN2022.0923.4—————————
Default ParamsISP Model=ISP [39]2023.0721.4—34.1———22.4———
CDASurrogate Model=VGG19, Victim Model=DETR2022.0920.8—————————
GAMASurrogate Model=VGG19, Victim Model=RNet2022.0920.7—————————
BIASurrogate Model=Res152, Victim Model=DETR2022.0920.5—————————
GAMASurrogate Model=Res152, Victim Model=FRCN2022.0917.2—————————
GAMASurrogate Model=Res152, Victim Model=RNet2022.0913.8—————————
Ranking GAN (Ours_VGG)Backbone=VGG, Detection Framework=SSD2017.1113.6—————————
Ranking GAN (Ours_VGG)Backbone=VGG, Detection Framework=FRCNN2017.1112.8—————————
WCCNBackbone=VGG162017.1112.3—————————
GAMASurrogate Model=VGG19, Victim Model=D2ETR2022.0912.2—————————
GAMASurrogate Model=VGG19, Victim Model=DETR2022.0911.7—————————
WSDDN2017.1111.5—————————
Ranking GAN (Ours_AlexNet)Backbone=AlexNet, Detection Framework=FRCNN2017.1110.9—————————
WCCNBackbone=AlexNet2017.1110.1—————————
GAMASurrogate Model=Res152, Victim Model=D2ETR2022.099.5—————————
GAMASurrogate Model=Res152, Victim Model=DETR2022.098—————————
Blockwise-tunedISP Model=ISP [32]2023.07——20———————
CSPDenseNet Ref.-EFM (SAM)Size=320, GPU FPS=235, mGPU FPS=492019.11——42.2———————
CSPDenseNet Ref.-PRNSize=320, GPU FPS=387, CPU FPS=95, mGPU FPS=642019.11——35.4———————
CSPDenseNetb Ref.-PRNSize=320, GPU FPS=400, CPU FPS=102, mGPU FPS=732019.11——34.2———————
CSPPeleeNet Ref.-EFM (SAM)Size=320, GPU FPS=205, mGPU FPS=412019.11——44.6———————
CSPPeleeNet Ref.-PRNSize=320, GPU FPS=306, CPU FPS=75, mGPU FPS=522019.11——38.5———————
CSPPeleeNet Ref.-PRN (31)Size=320, GPU FPS=267, CPU FPS=52, mGPU FPS=382019.11——40———————
Default ParamsISP Model=ISP [32]2023.07——15———————
GBFPN-SSDBackbone=VGG16, Input size=512x5122020.12—————33————
Hardware-tunedISP Model=ISP [32]2023.07——39———————
Mask-RCNNBackbone=ResNet50, Detector=Mask-RCNN2019.09—38.2————————
Mask-RCNNBackbone=ResNet101, Detector=Mask-RCNN2019.09—40.2————————
Mask-RCNN + CGNLBackbone=ResNet50, Detector=Mask-RCNN + CGNL2019.09—38.9————————
Mask-RCNN + GALDBackbone=ResNet50, Detector=Mask-RCNN + GALD2019.09—39.2————————
Mask-RCNN + GALDBackbone=ResNet101, Detector=Mask-RCNN + GALD2019.09—41.1————————
Mask-RCNN + NLBackbone=ResNet50, Detector=Mask-RCNN + NL2019.09—39————————
Mask-RCNN + NLBackbone=ResNet101, Detector=Mask-RCNN + NL2019.09—40.9————————
SNet146-ThunderSize=320, GPU FPS=248, CPU FPS=322019.11——40.2———————
SNet49-ThunderSize=320, GPU FPS=267, CPU FPS=472019.11——33.7———————