Object detection - class review
Last updated on:6 months ago
Localization and detection can be used image classification, classification with localization and multiple object detection.
Output of object detection network
If
Landmark detection
Select the number of landmarks.
129 output units = $64 \times 2 + 1$
Analyse the pose of the person
Object detection
Sliding windows detection
You then repeat it, but now use a larger window.
You can reduce the number of windows you need to pass through the confinite by using a more coarse stride, a bigger stride, a larger step size. The sliding detector can be implemented convolutionally, or much more efficient.
Turning FC layer into convolutional layers
Convolutional implementation of sliding windows
Problem: the position of the bounding boxes are not too accurate.
Bounding boxes predictions
output accurate bounding boxes.
Reference
[1] Deeplearning.ai, Convolutional Neural Networks
本博客所有文章除特别声明外,均采用 CC BY-SA 4.0 协议 ,转载请注明出处!