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ResearchFormerly WizWand

Image Classification on ImageNet 1k (val) (Accuracy & Sparsity)

75.5Top-1 AccuracyContinuous Sparsification
43.57251.86160.1568.439Dec 10, 2019
Updated 8mo ago

Evaluation results

MethodLinks
Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.1275.591.8
STRBackbone=ResNet-50, Protocol=Fine-tuned2019.1274.390.2
DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.127490
GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.1273.990
IMPBackbone=ResNet-50, Protocol=Re-trained2019.1273.690
Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.1272.495.3
Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.1271.497.1
Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.1271.195.3
GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.1270.695
STRBackbone=ResNet-50, Protocol=Fine-tuned2019.1270.495
Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.127098
Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.1269.697.1
IMPBackbone=ResNet-50, Protocol=Re-trained2019.1269.295
DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.1268.395
Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.1267.998
STRBackbone=ResNet-50, Protocol=Fine-tuned2019.1267.296.5
Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.1266.898.9
Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.1264.998.9
STRBackbone=ResNet-50, Protocol=Fine-tuned2019.1261.598.5
DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.1258.298
GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.1257.998
STRBackbone=ResNet-50, Protocol=Fine-tuned2019.1254.898.8
GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.1244.899