A very short introduction to the tasks studied in computer vision.

Timestamps:
00:00 - Computer Vision: A Very Short Introduction
00:35 - What Is Computer Vision?
03:10 - Motivation
04:00 - Computer Vision - But What Is It Really?
04:46 - Image Classification
05:11 - Image Classification - Example
05:24 - Image Retrieval
05:47 - Image Retrieval - Example
06:15 - Object Detection
06:29 - Object Detection - Example
06:42 - Semantic Segmentation
07:08 - Semantic Segmentation - Example
07:19 - Instance Segmentation
07:41- Instance Segmentation - Example
07:57 - Action Recognition In Video
08:13 - Action Recognition In Video - Example
08:20 - Mask Tracking On Video
08:38 - Mask Tracking On Video - Example
08:50 - Image Captioning
09:02 - Image Captioning - Example
09:15 - Computer Vision - A Whirlwind Tour Of Further Themes
11:30 - Computer Vision - A Whirlwind Tour Of Further Themes (Cont.)

Topics: #computervision #ai #introduction

Links:
Slides (pdf): [ Ссылка ]

References for papers mentioned in the video can be found at
[ Ссылка ]

Detailed description:

Computer vision is a field of study that aims to help computers see. This video introduces some key tasks studied in computer vision and provides examples to illustrate them.

These tasks include image classification, image retrieval, object detection, semantic segmentation, instance segmentation, action recognition in video, mask tracking on video, and image captioning.

The video also touches on other tasks spanning image processing, feature extraction, fine-grained motion estimation, motion analysis, 3D vision, high-level vision and visual content synthesis.

For related content:
- Twitter: [ Ссылка ]
- Research lab: [ Ссылка ]
- personal webpage: [ Ссылка ]
- YouTube: [ Ссылка ]

(Optional) if you'd like to support the channel:
- [ Ссылка ]
- [ Ссылка ]

свернуть