CliqueNet:Convolutional Neural Networks with Alternately Updated Clique詳解
Convolutional Neural Networks with Alternately Updated Clique 是2018年北大團隊在CVPR上發表的，這是繼DenseNet之後又一密集網絡。在圖像識別數據集上作者達到了the state-ofthe-art performance with fewer parameters。以下文章講解是本人粗淺的看法，如有不同的意見大家可以指出並進
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相關文章
- 1. Convolutional Neural Networks with Alternately Updated Clique
- 2. Article Analysis (AA): Alternately Updated Clique
- 3. ImageNet Classification with Deep Convolutional Neural Networks
- 4. ImageNet Classification with Deep Convolutional Neural Networks
- 5. AlexNet：ImageNet Classification with Deep Convolutional Neural Networks
- 6. Paper：Sequence to Sequence Learning with Neural Networks
- 7. Sutskever2014_Sequence to Sequence Learning with Neural Networks
- 8. Non-local Neural Networks 詳解
- 9. Brain tumor segmentation with Deep Neural Networks
- 10. Ternary Neural Networks with Fine-Grained Quantization