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Image Classification on Sketch

19.22Top-1 ErrorIndividual Networks
17.590428.590239.5950.5898Jan 19, 2018

Evaluation results

MethodLinks
Individual NetworksBackbone=ResNet-502018.0119.22——
Individual NetworksBackbone=DenseNet-1212018.0119.48——
PiggybackBackbone=ResNet-502018.0120.09——
PiggybackBackbone=DenseNet-1212018.0120.3——
PackNetBackbone=DenseNet-121, Task addition order=↑2018.0121.08——
PackNetBackbone=ResNet-50, Task addition order=↑2018.0121.3——
PiggybackBackbone=VGG-16 BN2018.0121.41——
Individual NetworksBackbone=VGG-16 BN2018.0121.92——
PiggybackBackbone=VGG-16, # Models=1, Size=621 MB2018.0122.7——
PackNetBackbone=VGG-16 BN, Task addition order=↑2018.0123.53——
Individual NetworksBackbone=VGG-16, # Models=6, Size=3,222 MB2018.0123.54——
PackNetBackbone=ResNet-50, Task addition order=↓2018.0123.83——
PackNetBackbone=VGG-16, # Models=1, Size=587 MB, Task addition order=Sketch -> CUBS2018.0124.88——
PackNetBackbone=DenseNet-121, Task addition order=↓2018.0125.35——
PackNetBackbone=VGG-16 BN, Task addition order=↓2018.0125.47——
PackNetBackbone=VGG-16, # Models=1, Size=587 MB, Task addition order=CUBS -> Sketch2018.0128.62——
Classifier OnlyBackbone=DenseNet-1212018.0146.88——
Classifier OnlyBackbone=ResNet-502018.0149.14——
Classifier OnlyBackbone=VGG-16, # Models=1, Size=537 MB2018.0158.53——
Classifier OnlyBackbone=VGG-16 BN2018.0159.96——
BA^2Backbone=ResNet-50, Param Count=3.8x (1.71x)2022.03——79.28
CAE*Supervised=false, Self-supervised=true, Backbone=ViT-B2022.02——74.65
DeiTSupervised=true, Self-supervised=false, Backbone=ViT-B2022.02——73.45
DINOSupervised=false, Self-supervised=true, Backbone=ViT-B2022.02——73.13
Feature ExtractorBackbone=ResNet-50, Param Count=1x2022.03——65.9
Fine-TuningBackbone=ResNet-50, Param Count=6x2022.03——81.83
MAESupervised=false, Self-supervised=true, Backbone=ViT-B2022.02——73.87
PacknetBackbone=ResNet-50, Param Count=(1.60x), Task Adding Order=Forward2022.03——76.2
PacknetBackbone=ResNet-50, Param Count=(1.60x), Task Adding Order=Reverse2022.03——78.7
PiggybackBackbone=ResNet-50, Param Count=6x (2.25x)2022.03——79.91
Random Init.Supervised=false, Self-supervised=false, Backbone=ViT-B2022.02——46.42
Spot-tuneBackbone=ResNet-50, Param Count=7x (7x)2022.03——80.2
TAPSBackbone=ResNet-50, Param Count=4.12x2022.03——80.74
WTPBBackbone=ResNet-50, Param Count=6x (2.25x)2022.03——80.2