閱讀《Detecting Faces Using Inside Cascaded Contextual CNN》的理解
Detecting Faces Using Inside Cascaded Contextual CNN 這篇文章出自2017的ICCV，文章鏈接。其主要的貢獻在兩個地方：1、高層的卷積核區分複雜的負樣本的能力更強，而簡單的負樣本在低層就可以檢測出來，不用傳入到後面的網絡層去區分，這樣既可以減少高層的計算量來節約時間，同時也可以讓高層的卷積核集中於解決複雜的正負樣本。所以該篇文章
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相關文章
- 1. 級聯人臉檢測--Detecting Faces Using Inside Cascaded Contextual CNN
- 2. Detecting and counting tiny faces
- 3. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 4. 【論文閱讀】Finding Tiny Faces
- 5. 論文閱讀：Detecting Visual Relationships Using Box Attention
- 6. 人臉檢測--Grid Loss: Detecting Occluded Faces
- 7. 論文閱讀：Detecting and Recognizing Human-Object Interactions
- 8. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（MTCNN）論文和代碼解讀
- 9. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks論文理解
- 10. 【論文淺讀】《Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs》