SNIPER: Efficient Multi-Scale Training
轉載於https://blog.csdn.net/qq_26974871/article/details/82253188 本週閱讀了《SNIPER: Efficient Multi-Scale Training》這篇文獻，在這篇文章中作者認識到了現有的proposal算法的種種不足，從而在《An Analysis of Scale Invariance in Object Detection –
相關文章
- 1. SNIPER: Efficient Multi-Scale Training
- 2. SNIPER- Efficient Multi-Scale Training
- 3. SNIPER
- 4. 【SNIPER】
- 5. 物體檢測之SNIPER
- 6. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 7. 讀 Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
- 8. 【論文精讀】Select Via Proxy: Efficient Data Selection For Training DeepNetworks
- 9. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 10. Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions筆記
- 更多相關文章...
- • Docker 容器連接 - Docker教程
- • Docker 容器使用 - Docker教程
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. SNIPER: Efficient Multi-Scale Training
- 2. SNIPER- Efficient Multi-Scale Training
- 3. SNIPER
- 4. 【SNIPER】
- 5. 物體檢測之SNIPER
- 6. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 7. 讀 Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
- 8. 【論文精讀】Select Via Proxy: Efficient Data Selection For Training DeepNetworks
- 9. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 10. Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions筆記