컴퓨터 비전
픽셀에서 물체·장면·3차원 구조를 읽어낸다
OVERVIEW
- 전체 항목
- 6
- 입문
- 2
- 중급
- 3
- 고급
- 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.
이 영역이 답하는 질문
- 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?