Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Last update: Feb 06, 2022

Overview

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

This is the repository for the Deep Learning project "Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set" (2022).

For information about the data set and the trained weights contact our team or the owner of this repository (Robert Krug).

The stored weights of the different network configuration can be accessed here.

Owner

Robert Krug

GitHub Repository

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Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

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Overview

Explaining Deep Neural Networks - A comparison of different CAM methods based on an insect data set

Owner

Robert Krug

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

This repository contains code accompanying the paper "An End-to-End Chinese Text Normalization Model based on Rule-Guided Flat-Lattice Transformer"

Preprocessed Datasets for our Multimodal NER paper

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

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