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fine-grained-car-classification

fine-grained-car-classification

Attempts and Results

Method Accuracy Note
ResNet101 Baseline 0.9240144260664096 input_size=(448, 448), optim=SGD, lr=0.1, epochs=30, lr_decay_rate=0.1, lr_decay_step=10(by epochs), batch_size=32
ResNet50+ArcFace+FocalLoss 0.9368237781370476 input_size=(448, 448), optim=SGD, lr=0.1, epochs=20, lr_decay_rate=0.1, lr_decay_step=10(by epochs), batch_size=64, s=16.0, m=0.50, easy_margin=False, gamma=2, alpha=1
ResNet50+MoCo(RandomColorJitter+RandomGrayscale+RandomHorizontalFlip) 0.8977739087178211 input_size=(448, 448), optim=SGD, lr=0.1, epochs=100, lr_decay_rate=0.1, lr_decay_step=10(by epochs), batch_size=32
ResNet50+TripletMarginLoss 0.8865812709861958 input_size=(448, 448), optim=SGD, lr=0.1, epochs=100, lr_decay_rate=0.1, lr_decay_step=10(by epochs), batch_size=32, margin=5.0, lambda_triplet=0.1
DenseNet201+AutoAugment+ArcFace+MoCo 0.9477676905857481 TBD
DenseNet201+AutoAugment+ArcFace 0.9446586245491855 TBD
DenseNet201+AutoAugment 0.9235169755005597 TBD
DenseNet201 0.9109563487128467 TBD

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