LEARNING BASED METHODS FOR COMPUTER VISION

Name: LEARNING BASED METHODS FOR COMPUTER VISION
Availability: OutOfStock
Rating: 4.8 (126 reviews)

BMI/COMPSCI 771

课程描述

Addresses the problems of representation and reasoning for large amounts of visual data, including images and videos, medical imaging data, and their associated tags or text descriptions. Introduces deep learning in the context of computer vision. Covers topics on visual recognition using deep models, such as image classification, object detection, human pose estimation, action recognition, 3D understanding, and medical image analysis. Emphasizes the design of vision and learning algorithms and models, as well as their practical implementations. Strongly recommended to have knowledge in computer vision or machine learning [such asCOMP SCI 540] or medical image analysis [such as B M I /COMP SCI/B M I 567].

先修课程

Graduate/professional standing

满足要求

This course does not satisfy any prerequisites.

学分

未报告

开课时间

未报告

平均绩点

3.91

0.93% 相比历史数据

完成率

100%

与历史数据相比无变化

A率

97.73%

12.97% 相比历史数据

班级规模

4.76% 相比历史数据

Cumulative Grade Distribution

教师 (2026 Summr)

按评分排序，数据来自 Rate My Professors

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