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Phrase Detection on VRD (test)

33.8R@50GPS-Net
-1.31047.804816.9226.0352Feb 27, 2017Sep 2, 2017Mar 9, 2018Sep 13, 2018Mar 19, 2019Sep 23, 2019Mar 29, 2020

Evaluation results

MethodLinks
GPS-Netshared object detector=true, backbone pre-training=COCO2020.0333.839.2————————
MF-URLN2020.0331.536.1————————
RelDNshared object detector=true2020.0331.336.4————————
GPS-Netshared object detector=true, backbone pre-training=ImageNet2020.0328.934————————
Yu et. alExternal data=true2019.0126.3229.43————————
BLOCKExternal data=false2019.0126.3228.96————————
CAI + SCA-Mshared object detector=true2020.0325.228.9————————
Zoom-Netshared object detector=true2020.0324.828.1————————
KL distillation2020.0323.124————————
ViP-CNN2020.0322.827.9————————
Li et. alExternal data=false2019.0122.7827.91————————
VRL2020.0321.422.6————————
Liang et. alExternal data=false2019.0121.3722.6————————
Dai et. alExternal data=false2019.0119.9323.45————————
VTransEModel type=end-to-end2017.0219.4222.42————————
Zhang et. alExternal data=false2019.0119.4222.42————————
VTransE-2stageModel type=two-stage, Object detector=Faster-RCNN2017.0218.4521.29————————
Ours [S+A] + LanguageSupervision=Full sup., Method components=[S+A] + Language2017.0717.9—————————
Peyre et. alExternal data=false2019.0117.919.5————————
Ours [S+A]Supervision=Full sup., Method components=[S+A]2017.0716.7—————————
Visual + LanguageSupervision=Full sup.2017.0716.2—————————
Lu’s-VLKObject detector=R-CNN, Language priors=word2vec2017.0216.1717.03————————
Lu et. alExternal data=false2019.0116.1717.03————————
Ours [S+A]Supervision=Weak sup., Method components=[S+A]2017.0716—————————
Language (full)Supervision=Full sup.2017.0715.8—————————
Ours [S+A] - NoisySupervision=Weak sup., Method components=[S+A] - Noisy2017.0715.1—————————
Ours [A]Supervision=Full sup., Method components=Appearance [A]2017.0714.9—————————
VTransE2020.0314.115.2————————
Ours [S]Supervision=Full sup., Method components=Spatial [S]2017.0713.8—————————
Lu’s-VObject detector=R-CNN2017.022.242.61————————
VisualSupervision=Full sup.2017.072.2—————————
DenseCapClassification layer=softmax2017.020.620.77————————
VisualPhraseObject detector=Faster-RCNN2017.020.540.63————————
Language (likelihood)Supervision=Full sup.2017.070.08—————————
Random2017.020.060.11————————
Visual PhrasesSupervision=Full sup.2017.070.04—————————
Joint CNNTraining images=VRD only2017.07————0.090.07————
Linguistic CuesTraining images=VRD only2017.07——————20.716.89——
U+W+SF+L: STraining images=VRD only, Variant=Student2017.07————19.9819.1525.1622.9525.5422.59
U+W+SF+L: STraining images=VRD + VG, Variant=Student2017.07————20.3219.9625.7123.3425.9722.83
U+W+SF+L: TTraining images=VRD only, Variant=Teacher2017.07————23.5722.4629.1425.9629.0925.86
U+W+SF+L: TTraining images=VRD + VG, Variant=Teacher2017.07————23.8922.9229.8226.3429.9726.15
U+W+SF+L: T+STraining images=VRD only, Variant=Teacher+Student2017.07————24.0323.1429.7626.4729.4326.32
U+W+SF+L: T+STraining images=VRD + VG, Variant=Teacher+Student2017.07————24.4223.5130.1326.7330.0126.58
VIP-CNNTraining images=VRD only2017.07————27.9122.78————
Visual PhrasesTraining images=VRD only2017.07————0.070.04————
VRD - FullTraining images=VRD only2017.07————17.0316.1725.5220.4224.920.04
VRD - V onlyTraining images=VRD only2017.07————2.612.24————
VRLTraining images=VRD only2017.07————22.621.37————