8000 GitHub - gmachiraju/codex-analysis: Shared repo for thesis work involving: Deep Learning, Computer Vision, Multi-task Learning, weak supervision, eXplainable AI, Salient Object Detection, Computational Pathology, megapixel & multiplexed image analysis
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Shared repo for thesis work involving: Deep Learning, Computer Vision, Multi-task Learning, weak supervision, eXplainable AI, Salient Object Detection, Computational Pathology, megapixel & multiplexed image analysis

Notifications You must be signed in to change notification settings

gmachiraju/codex-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This is the shared repository for a handful of very closely-related projects. Please scroll down to the individual notebook file descriptions to get a sense of where code is run from. Some of the major projects include:

  • weakly supervised Salient Object Detection (wsSOD) and classification with Patch Convolutional Neural Networks (PatchCNNs)
    • Notebook: MISO_filtered.ipynb.
    • Paper: A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & their Explanations. Gautam Machiraju, Sylvia Plevritis, Parag Mallick. European Conference on Computer Vision (ECCV), 2022.
  • wsSOD robustness with varying degrees of weak supervision
    • Notebook: Potentials.ipynb.
    • Paper: title forthcoming after submission and review process.
  • Multi-scale representation learning
    • more to come shortly

Also feel free to check out my webpage for more details about projects.

About

Shared repo for thesis work involving: Deep Learning, Computer Vision, Multi-task Learning, weak supervision, eXplainable AI, Salient Object Detection, Computational Pathology, megapixel & multiplexed image analysis

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
0