Image Classification on Flower
95.84AccuracyDenseNet-121
Evaluation Results
| Method | Links | |
|---|---|---|
| DenseNet-121Flower Class=16, Total Count=157422026.01 | 95.84 | |
| MobileNetFlower Class=16, Total Count=157422026.01 | 95.58 | |
| XceptionFlower Class=16, Total Count=157422026.01 | 95.33 | |
| Method from [35]Flower Class=5, Total Count=43232026.01 | 91 | |
| CAD-CAMBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 49.67 | |
| CADBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 47.88 | |
| SEALEvaluation Protocol=linear probe, Generations (G)=102023.04 | 45.68 | |
| DIRKBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 44.03 | |
| ABLEBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 43.51 | |
| CP-DPLLBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 42.42 | |
| PRODENBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 41.28 | |
| IDGPBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 41.26 | |
| RCBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 41.2 | |
| CCBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 40.92 | |
| CAVLBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 40.69 | |
| CELBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 38.51 | |
| NormalEvaluation Protocol=linear probe, Generations (G)=12023.04 | 34.31 | |
| PICOBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 33.76 | |
| POPBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 33.02 | |
| VALENBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 32.89 | |
| Normal (long)Evaluation Protocol=linear probe, Generations (G)=102023.04 | 26.96 | |
| LLFEvaluation Protocol=linear probe, Generations (G)=102023.04 | 22.84 | |
| LWSBackbone=ResNet34, Optimizer=SGD, Learning rate=0.01, Weight decay=0.001, Momentum=0.9, Epochs=500, Batch size=162026.03 | 21.24 |