Lightweight Neural Network for Semantic Segmentation using Knowledge Distillation (Accepted by AICAS 2022)

Some Class Activation Map methods implemented in Pytorch for CNNs

MVA Master School Project - Weakly Supervised Semantic Segmentation

Tutorial to show how to extract object localization

This work study the "Activation/Saliency Map" in image classification, which emphasize the regions in a image where model focus on to give the final predication result.

saliency map, adversarial image, (gradient) class activation map

Class Activation Map (CAM and Grad-CAM) Analysis of fine-tuned CNNs with transfer learning for Pokemon classification task to understand the features learned by deep CNN

Computer tomography (CT) scans are one of the only ways to diagnose lung diseases. With the rise of lungrelated issues in recent times, it would be a boon if a system existed that would aid medical professionals to diagnose diseases from chest CT scans. This paper proposes to develop such a system in the form of two separate modules using basic …

Enhanced CNN model for malaria cell classification, featuring Class Activation Mapping (CAM) as a non-agnstic technique for anomaly localization and LIME (Local Interpretable-agnostic Explanation) for interpretability, ensuring high accuracy and transparent AI diagnostics.

Class activation maps for high risk and low risk patients in lung adenocarcinoma

High Resolutions Class Activation Maps usage script. Implementation from HR-CAM paper.

Detecting Severe Malaria Anaemia and investigating the morphological characteristics of red blood cells at its presenc

Special Project - CA classification (2019 Fall)

A Class Activation Map is a weighted activation map generated for each image, helping us to identify the region a CNN is looking at while classifying an image.

Computer Vision with PyTorch for Medical Image Analysis

Visualizing Class Activation Maps for Convolutional Neural Networks

A collection of my Jupyter notebooks, showcasing my exploration and learning journey in the field of Computer Vision

Repository for the paper "Neural Networks for Classification and Unsupervised Segmentation of Visibility Artifacts on Monocular Camera Image"

Generates class activation maps for CNN's with Global Average Pooling Layer Keras