UnitBox An Advanced Object Detection Network
UnitBox An Advanced Object Detection Network 在目前的物體檢測系統中，利用深度卷積神經網絡(CNNs)來預測物體候選的邊界框，與傳統的區域建議方法相比，獲得了性能上的優勢。然而，現有的深度CNN方法假設對象邊界爲4個獨立變量，可分別由 l 2 l_2 l2 loss進行迴歸。這樣一個過度簡單的假設與廣受好評的觀察結果相反，即這些變量是相關的，導致定位的
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相關文章
- 1. Convolutional Neural Network - Object Detection
- 2. An Introduction to CNN based Object Detection
- 3. Object Detection Summary
- 4. DetNet: A Backbone network for Object Detection
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- 7. An overview of object detection: one-stage methods
- 8. object-detection
- 9. Anchor-free Object Detection - 13 papers
- 10. Reading Note: Single-Shot Refinement Neural Network for Object Detection