深度学习模型压缩

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  • A Survey of Model Compression and Acceleration for Deep Neural Networks

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  • 相关资料
    • 相关资料
    • A Survey of Model Compression and Acceleration for Deep Neural Networks
  • Knowledge Distillation
    • 简单总结
    • (ICLR 2015) FITNETS: HINTS FOR THIN DEEP NETS
    • (ICLR 2017) Paying More Attention to Attention
    • (CVPR 2017) Mimicking Very Efficient Network for Object Detection
    • (CVPR 2017) A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
    • (Arxiv 2017) Like What You Like - Knowledge Distill via Neuron Selectivity Transfer
    • (Arxiv 2017) Data Distillation: Towards Omni-Supervised Learning
    • (NIPS 2017) Learning Efficient Object Detection Models with Knowledge Distillation
    • (CVPR 2018) Deep Mutual Learning
    • (NeurIPS 2018) Paraphrasing Complex Network: Network Compression via Factor Transfer
    • (ICCV 2019) Learning Lightweight Lane Detection CNNs by Self Attention Distillation
    • (BMVC 2019) Graph-based Knowledge Distillation by Multi-head Attention Network
    • (ICCV 2019) Distilling Knowledge From a Deep Pose Regressor Network
    • (ICCV 2019) Similarity-Preserving Knowledge Distillation
    • (CVPR 2019) Knowledge Adaptation for Efficient Semantic Segmentation
    • (CVPR 2019) Relational Knowledge Distillation
    • (CVPR 2019) Structured Knowledge Distillation for Semantic Segmentation
    • (TIP 2021) Double Similarity Distillation for Semantic Image Segmentation
    • (TIP 2022) Spot-adaptive Knowledge Distillation
    • (CVPR 2022) Cross-Image Relational Knowledge Distillation for Semantic Segmentation
  • Pruning
    • CondenseNet: An Efficient DenseNet using Learned Group Convolutions
  • Compact Model
    • ENet
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