Topic: class-activation-maps Goto Github
Some thing interesting about class-activation-maps
Some thing interesting about class-activation-maps
class-activation-maps,Weakly supervised Classification and Localization of Chest X-ray images
User: alinstein
class-activation-maps,DeepInsight3D package to deal with multi-omics or multi-layered data
User: alok-ai-lab
class-activation-maps,Visualizing where the Convolution Network is looking through CAM.
User: alokwhitewolf
class-activation-maps,In this project we use a Lightweight-CNN based model to classify instruments from the Freesound audio data set. We make use of Mel-Spectrogram features from the input audio data as the input to the CNN model. To add robustness to the model, we use a novel data augmentation technique based on the Cut-Mix algorithm.
User: anirudhs123
Home Page: https://anirudhs123.github.io/ Music-Instrument-Classification/
class-activation-maps,COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
User: armiro
class-activation-maps,Code and data for our learning-based eXplainable AI (XAI) method TAME: M. Ntrougkas, N. Gkalelis, V. Mezaris, "TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks", Proc. IEEE Int. Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.
User: bmezaris
class-activation-maps,DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electrical Consumption Time Series
User: boniolp
Home Page: https://whichdevice.streamlit.app/
class-activation-maps,TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
User: conan7882
class-activation-maps,Satellite photographs taken by the Sentinel-2 were classified with pre-trained ResNet-50 and VGG16 models. In addition made CAM model.
User: doguilmak
class-activation-maps,Detecting Severe Malaria Anaemia and investigating the morphological characteristics of red blood cells at its presenc
User: ezermoysis1
class-activation-maps,Deep functional residue identification
Organization: flatironinstitute
class-activation-maps,Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
User: gaurav104
class-activation-maps,Official implementation of Score-CAM in PyTorch
User: haofanwang
class-activation-maps,Evaluating surgical skills from kinematic data using convolutional neural networks
User: hfawaz
Home Page: https://germain-forestier.info/src/miccai2018/
class-activation-maps,Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Organization: imatge-upc
Home Page: http://imatge-upc.github.io/retrieval-2017-cam/
class-activation-maps,Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
User: jacobgil
Home Page: https://jacobgil.github.io/pytorch-gradcam-book
class-activation-maps,Building a multi-label classifier from scratch and using transfer learning for the PASCAL VOC image dataset.
User: kenanekici
class-activation-maps,An awesome list of papers and tools about the class activation map (CAM) technology.
User: lartpang
class-activation-maps,Special Project - CA classification (2019 Fall)
User: linkingmon
class-activation-maps,MVA Master School Project - Weakly Supervised Semantic Segmentation
User: liuvince
class-activation-maps,【瑞士军刀般的工具】用最短的代码完成对模型的分析,包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
User: lmk123568
Home Page: https://aistudio.baidu.com/aistudio/projectdetail/2143665
class-activation-maps,This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
User: marvinbuss
class-activation-maps,Repository containing code to run Score-CAM algorithm available on https://arxiv.org/pdf/1910.01279v1.pdf.
User: matheushent
class-activation-maps,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.
User: mdhabibi
Home Page: https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria
class-activation-maps,Some Class Activation Map methods implemented in Pytorch for CNNs
User: nacriema
class-activation-maps, Saliency Enhancing with Scaling and Sliding
User: neouyghur
class-activation-maps,Class Activation Map using Keras
User: nickbiso
class-activation-maps,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 image processing techniques and convolutional neural networks (CNN). The image processing module uses basic image processing to reduce computational complexity and produce excellent results, while the classification module is reliable while also training at an acceptable rate. Our proposed system predicts lung disease with an average accuracy of 98.11% which is on par with other methods that are far more complex and use significantly higher computational resources.
User: nikhilraj1997
class-activation-maps,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.
User: nsrinidhibhat
class-activation-maps,Tutorial to show how to extract object localization
User: ovalery16
class-activation-maps,I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.
User: penny4860
class-activation-maps,High Resolutions Class Activation Maps usage script. Implementation from HR-CAM paper.
User: piyushmalpure
class-activation-maps,Computer Vision with PyTorch for Medical Image Analysis
User: prathamlearnstocode
class-activation-maps,Visualizing Class Activation Maps for Convolutional Neural Networks
User: saadhaxxan
class-activation-maps,Similarity Differences and Uniqueness Explainable AI method
User: satyamahesh84
class-activation-maps,Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
User: sbelharbi
class-activation-maps,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
User: shivanink8
class-activation-maps,
User: sumitbinnani
class-activation-maps,Generates class activation maps for CNN's with Global Average Pooling Layer Keras
User: tanyachutani
class-activation-maps,VGG transfer learning and Class Activation Mapping
User: tony-mtz
class-activation-maps, Repository for the paper "Neural Networks for Classification and Unsupervised Segmentation of Visibility Artifacts on Monocular Camera Image"
User: vd-kuznetsov
class-activation-maps,A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, Convolutional Neural Networks (CNN), Auto-Encoders (AE) and Transfer Learning.
User: vraul92
class-activation-maps,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.
User: wjiangh
class-activation-maps,Class activation maps for high risk and low risk patients in lung adenocarcinoma
User: xinformatics
class-activation-maps,This project propose a simple example to expose the implicit attention of Convolutional Neural Networks on the image.
User: xup6fup
Home Page: http://cnnlocalization.csail.mit.edu/
class-activation-maps,A collection of my Jupyter notebooks, showcasing my exploration and learning journey in the field of Computer Vision
User: yashashwita20
class-activation-maps,Scripts that utilize class activation maps and self-attention layers within Keras models to classify faces from FEI Faces Dataset
User: ychennay
Home Page: https://fei.edu.br/~cet/facedatabase.html
class-activation-maps,Causal Class Activation Map
User: yiping-wang
class-activation-maps,Lightweight Neural Network for Semantic Segmentation using Knowledge Distillation (Accepted by AICAS 2022)
User: yubin1219
class-activation-maps,saliency map, adversarial image, (gradient) class activation map
User: yurayli
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