OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
這篇文章將classfication，localization和detection三種任務同時用一個CNN網絡進行實現。並且提出了一個十分厲害的feature extractor：Overfeat。 在ImageNet數據集中，物體在圖片中呈現的位置大致是在圖片的中間，而且佔據了圖片很大的地方，但是感興趣的物體分佈卻非常的不同。常用的解決方案有3種：1. 將CNN用在圖片的不同位置，或者使用多尺寸
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相關文章
- 1. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- 2. 【OverFeat】《OverFeat：Integrated Recognition, Localization and Detection using Convolutional Networks》
- 3. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 論文筆記
- 4. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks總結
- 5. 對 OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 一文的理解...
- 6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks論文閱讀筆記
- 7. 論文筆記：OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
- 8. RCNN學習筆記(8):OverFeat:Integrated Recognition, Localization and Detection using Convolutional Network
- 9. Emotion Recognition Using Graph Convolutional Networks
- 10. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks