# Computer Vision

Canonical: https://manyspace.aporia.systems/subjects/ai/computer-vision-105
Updated: 2026-10-13

Computer Vision: about 13 hours. Each topic lists what you need first and what it unlocks.

## Images And Convolution

- [Images as Tensors](https://manyspace.aporia.systems/topics/images-as-tensors-aiml-cv-001)
- [Convolution](https://manyspace.aporia.systems/topics/convolution-aiml-cv-002)
- [Filters and Feature Maps](https://manyspace.aporia.systems/topics/filters-and-feature-maps-aiml-cv-003)
- [Stride and Padding](https://manyspace.aporia.systems/topics/stride-and-padding-aiml-cv-004)
- [Pooling](https://manyspace.aporia.systems/topics/pooling-aiml-cv-005)

## Architectures

- [CNN Hierarchy](https://manyspace.aporia.systems/topics/cnn-hierarchy-aiml-cv-006)
- [CNN Architectures and Residual Networks](https://manyspace.aporia.systems/topics/cnn-architectures-and-residual-networks-aiml-cv-007)
- [Vision Transformers](https://manyspace.aporia.systems/topics/vision-transformers-aiml-cv-010)
- [Self-Supervised Visual Representations](https://manyspace.aporia.systems/topics/self-supervised-visual-representations-aiml-cv-011)

## Tasks

- [Object Detection](https://manyspace.aporia.systems/topics/object-detection-aiml-cv-008)
- [Semantic and Instance Segmentation](https://manyspace.aporia.systems/topics/semantic-and-instance-segmentation-aiml-cv-009)
- [Video Understanding](https://manyspace.aporia.systems/topics/video-understanding-aiml-cv-012)

## Geometry

- [3D Vision: Cameras, Depth, and Scene Representations](https://manyspace.aporia.systems/topics/3d-vision-cameras-depth-and-scene-representations-aiml-cv-013)