Skip to content

Intuition net is a neural network + experiment which is built upon the idea of Object Permanance in humans which also leads us to understand physics and inertia of objects intuitively. The network in question will be able to predict segmentation mask for vehicles on road which are not part of the visual field from previous time step data.

License

rajatkb/Intuition-Net_Segmentation-Outpainting-using-Video-Sequence

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Intuition-Net__Segmentation-Outpainting-using-Video-Sequence

Intuition net is a neural network + experiment which is built upon the idea of Object Permanance in humans which also leads us to understand physics and inertia of objects intuitively. The network in question will be able to predict segmentation mask for vehicles on road which are not part of the visual field from previous time step data.

This is our 8th semester final year project and is intended for making a novel contribution in the study and research in Computer Vision and Deep Learning.
Team Member: Meghali Nandi , Amrit Jha

List of files

  • Pytorch revision notebook

#TO-DO

  • Research successfully presented at institute
  • Update the readme to document research findings.

About

Intuition net is a neural network + experiment which is built upon the idea of Object Permanance in humans which also leads us to understand physics and inertia of objects intuitively. The network in question will be able to predict segmentation mask for vehicles on road which are not part of the visual field from previous time step data.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published