MMClassification
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  • Tutorial 1: Finetuning Models
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  • Tutorial 3: Custom Data Pipelines
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MMClassification
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Model Zoo StatisticsΒΆ

  • Number of papers: 7
    • ALGORITHM: 7
  • Number of checkpoints: 30
    • [ALGORITHM] MobileNetV2: Inverted Residuals and Linear Bottlenecks (1 ckpts)
    • [ALGORITHM] Deep Residual Learning for Image Recognition (13 ckpts)
    • [ALGORITHM] Aggregated Residual Transformations for Deep Neural Networks (4 ckpts)
    • [ALGORITHM] Squeeze-and-Excitation Networks (2 ckpts)
    • [ALGORITHM] ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices (1 ckpts)
    • [ALGORITHM] Shufflenet v2: Practical guidelines for efficient cnn architecture design (1 ckpts)
    • [ALGORITHM] Very Deep Convolutional Networks for Large-Scale Image Recognition (8 ckpts)
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