コンピュータビジョン
画素から物体・シーン・三次元構造を読み取る
OVERVIEW
- 全項目
- 6
- 初級
- 2
- 中級
- 3
- 上級
- 1
To a computer an image is just a grid of numbers; the hard part of vision has never been storing it but understanding it. This domain begins with the locality and weight sharing of convolution and connects classification, detection, segmentation, generation and 3D reconstruction, explaining what bottleneck each landmark architecture actually broke.
この領域が答える問い
- Q1
What does a convolution kernel actually learn?
- Q2
How do classification, detection and segmentation differ?
- Q3
How does a machine recover 3D from 2D images?