【數據增強】AUGMIX: A SIMPLE DATA PROCESSING METHOD TO IMPROVE ROBUSTNESS AND UNCERTAINTY
與Cutout、Mixup、CutMix的效果對比： 算法僞碼： 算法實際執行效果可視化： 增強 上圖是本文使用的數據增強操作，來自AutoAugment。移除了其中會和ImageNet-C corruptions（測試集）重疊的操作：contrast, color, brightness, sharpness, cutout，圖片噪音和模糊化操作。隨機選擇k個增強鏈，默認設置K = 3。每個
相關文章
- 1. A gradient boosting method to improve travel time prediction
- 2. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 3. 【數據增強】Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
- 4. 【論文快讀】DeepFool: a simple and accurate method to fool deep neural networks(2016)
- 5. NLP 數據增強 Data Augmentation
- 6. to improve sqlite performance
- 7. CNN Data Augmentation（數據增強）-旋轉
- 8. How to use Asynchronous Servlets to improve perfor
- 9. How To Improve Deep Learning Performance
- 10. ntroduction to Ray Tracing: a Simple Method for Creating 3D Images
- 更多相關文章...
- • MySQL數據庫恢復（LOAD DATA） - MySQL教程
- • jQuery Mobile Data 屬性 - jQuery Mobile 教程
- • Flink 數據傳輸及反壓詳解
- • TiDB 在摩拜單車在線數據業務的應用和實踐
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。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. A gradient boosting method to improve travel time prediction
- 2. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
- 3. 【數據增強】Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
- 4. 【論文快讀】DeepFool: a simple and accurate method to fool deep neural networks(2016)
- 5. NLP 數據增強 Data Augmentation
- 6. to improve sqlite performance
- 7. CNN Data Augmentation（數據增強）-旋轉
- 8. How to use Asynchronous Servlets to improve perfor
- 9. How To Improve Deep Learning Performance
- 10. ntroduction to Ray Tracing: a Simple Method for Creating 3D Images