ICCV2017_S3FD：Single Shot Scale-invariant Face Detector
論文想解決的問題：人臉目標太小的話，anchor-based detector性能急劇下降； 四個spotlight： 1 類似SSD，多個feature map預測不同尺度的人臉，但沒有像FPN一樣，上下層feature map連接；提出了有效感受野(effective receptive field)、equal proportion interval principle概念； 2 通過anc
相關文章
- 1. DSFD: Dual Shot Face Detector
- 2. DSFD: dual shot face detector
- 3. DSFD : Dual Shot Face Detector [CVPR 2019]
- 4. [CV Paper] S3FD : Single Shot Scale-invariant Face Detector
- 5. Reading Note: $ S^3FD $: Single Shot Scale-invariant Face Detector
- 6. DSFD(Dual Shot Face Detector)論文解讀
- 7. DSSD:Deconvolution Single Shot Detector
- 8. DSSD：Deconvolutional Single Shot Detector
- 9. SSD: The Single Shot Detector
- 10. SSD:(Single Shot MultiBox Detector)
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相關文章
- 1. DSFD: Dual Shot Face Detector
- 2. DSFD: dual shot face detector
- 3. DSFD : Dual Shot Face Detector [CVPR 2019]
- 4. [CV Paper] S3FD : Single Shot Scale-invariant Face Detector
- 5. Reading Note: $ S^3FD $: Single Shot Scale-invariant Face Detector
- 6. DSFD(Dual Shot Face Detector)論文解讀
- 7. DSSD:Deconvolution Single Shot Detector
- 8. DSSD：Deconvolutional Single Shot Detector
- 9. SSD: The Single Shot Detector
- 10. SSD:(Single Shot MultiBox Detector)