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2019Huawei-waste-image-classification

决赛线上 Rank2 答辩后Rank3

使用mixup后线下比分偏高,线上偏低,通过TTA可以弥补,推测是测试集有很多图片中的垃圾并没有位于图片中间位置。

model epochs Tricks Scores
Resnet18 finetune 50 78~79
Densenet101 finetune 50 85
Resnext101 32*16d finetune 50 91~92
Resnext101 32*16d fulltune 50+50 93.5~94
Resnext101 32*16d fulltune 50+50 Label Smoothing 94.1
Resnext101 32*16d fulltune 50+50 Label Smoothing+水平flip 94.5
Resnext101 32*16d fulltune 50+100 Label Smoothing+水平flip+CJ 94.68
Resnext101 32*16d fulltune 50+100 Label Smoothing+水平flip+CJ+TTA 95.4
Resnext101 32*16d fulltune 50+100 Mixup+水平flip 94.4
Resnext101 32*16d fulltune 50+100 Mixup+水平flip 94.4
Resnext101 32*16d fulltune 50+100 Mixup+Label Smoothing+水平flip 94.77

TTA:Tencrop average , CJ:Color jitting(0.3,0.3,0.3)

Radam , Ranger +CosineAnnealingWarmRestarts

Randaugment

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2019 华为垃圾分类赛 决赛线上 Rank2

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