📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
Going deeper into Deep CNNs through visualization methods: Saliency maps, optimize a random input image and deep dreaming with Keras
#计算机科学#Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
#计算机科学#Deep Learning Breast MRI Segmentation and Classification
First position in Gran Canary Datathon 2021
#计算机科学#We will build and train a Deep Convolutional Neural Network (CNN) with Residual Blocks to detect the type of scenery in an image. In addition, we will also use a technique known as Gradient-Weighted C...
PyTorch MobileNetV2 Stanford Cars Dataset Classification (0.85 Accuracy)
#计算机科学#Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNet
Heat Map 🔥 Generation codes for using PyTorch and CAM Localization Algorithm.
#计算机科学#Intracerebral Hemorrhage Detection on Computed Tomography Images Using a Residual Neural Network
#计算机科学#Repository of the course project of CMU 16-824 Visual Learning and Recognition
Generate explanations for the ResNet50 classification using Grad-CAM and LIME (XAI Method)
Detection and localization of COVID-19 on chest X-rays
#计算机科学#Develop and train image classification models using advanced deep learning techniques to identify diseases specific to apples.
#计算机科学#Using LIME and Grad-CAM techniques to explain the results achieved by various image transfer learning techniques
Gradient Frequency Attention: Tell Neural Networks where speaker information is.
#计算机科学#Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset
Collecting fish image data, after training classifiers grad-cam is applied for the prediction interpretation
This study tries to compare the detection of lung diseases using xray scans from three different datasets using three different neural network architectures using Pytorch and perform an ablation study...
#计算机科学#DEELE-Rad: Deep Learning-based Radiomics