3D-Convolutions and its Applications

A typical model for a 3D convolution

Human Action Recognition

an example application of action and object detection on a scene
  1. Object recognition in a video scene.
  2. Action similarity labeling between two video clips.
  3. Fraud detection in a shopping complex and video surveillance.
  4. Video captioning of any scene, eg: sports commentary, labeling of live video, etc.

Medical imaging

C2D2 computes a depth image from a single RGB image. Then, based on the computed depth images for a video sequence, C2D2 calculates local coverage, so it can detect where the coverage has been deficient and a second look is required.
  1. Detect Deficient Coverage in Colonoscopy Screening. (refer above image)
  2. 3D Convolutional Neural Networks for Alzheimer’s Disease Classification.

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

An Introduction to Machine Learning for Protective Intelligence Professionals

Amazon SageMaker Fast File Mode

How to implement Clustering in Power BI using PyCaret

A Machine Learning Approach to Predict Diabetic Patient Hospital Readmissions (contd..) — Part 10

Why loop closure is so important for global mapping

Manifestation Magic with NLP plus Brainwave system

N-gram and its use in-text generation

Image Super Resolution and Denoising Using Autoencoder

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store