Topic: grad-cam Goto Github
Some thing interesting about grad-cam
Some thing interesting about grad-cam
grad-cam,A generalized gradient-based CNN visualization technique
User: adityac94
grad-cam,Applying Transfer Learning on Inception V3 model (weights trained on Imagenet) for the Oxford TV Human Interactions dataset. The network gets as inputs images extracted every 5 frames from videos.
User: alexandrosstergiou
grad-cam,Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"
User: angelounimi
Home Page: https://iebil.di.unimi.it/cnnALL/index.htm
grad-cam,Implementation of Grad CAM in tensorflow
User: ankush96
grad-cam,Deep Learning Breast MRI Segmentation and Classification
User: arka-bhowmik
grad-cam,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
grad-cam,📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
User: ashutosh1919
Home Page: https://pypi.org/project/explainable-cnn/
grad-cam,:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
Organization: cloud-cv
Home Page: http://gradcam.cloudcv.org/
grad-cam,TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
User: conan7882
grad-cam,Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
User: cydonia999
Home Page: https://arxiv.org/abs/1610.02391
grad-cam,Class activate map
User: daixiangzi
grad-cam,This repo contains Grad-CAM for 3D volumes.
User: fitushar
grad-cam,Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
User: frgfm
Home Page: https://frgfm.github.io/torch-cam/
grad-cam,Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
User: gaurav104
grad-cam,Implementation of Grad-CAM for text.
User: haebinshin
grad-cam,Official implementation of Score-CAM in PyTorch
User: haofanwang
grad-cam,PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
User: hummat
Home Page: https://hummat.github.io/saliency
grad-cam,tensorflow implementation of Grad-CAM (CNN visualization)
User: insikk
grad-cam,An implementation of Grad-CAM with keras
User: jacobgil
grad-cam,Visualizations for understanding the regressed wheel steering angle for self driving cars
User: jacobgil
grad-cam,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
grad-cam,Deep Learning Visualization Tools Using PyTorch
User: jjxxmiin
grad-cam,Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
User: karol-g
grad-cam,PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
User: kazuto1011
grad-cam,Neural network visualization toolkit for tf.keras
User: keisen
Home Page: https://keisen.github.io/tf-keras-vis-docs/
grad-cam,This repo shows how to classify crack images and discuss the result with grad-cam
User: kentaitakura
grad-cam,Efficient explaining AI algorithms for Keras models
User: lucasdavid
Home Page: https://lucasdavid.github.io/keras-explainable/
grad-cam,Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19
User: matheushent
Home Page: https://coronax.com.br/
grad-cam, Saliency Enhancing with Scaling and Sliding
User: neouyghur
grad-cam,Visualizer for PyTorch image models
User: novice03
grad-cam,InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
Organization: paddlepaddle
Home Page: https://interpretdl.readthedocs.io
grad-cam,Explainability of Brain Tumour Segmentation Models
User: parthnatekar
grad-cam,[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
User: pinto0309
Home Page: https://qiita.com/shinmura0
grad-cam,[ICCV 2017] Torch code for Grad-CAM
User: ramprs
Home Page: https://arxiv.org/abs/1610.02391
grad-cam,[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
User: ramprs
grad-cam,About face technology
User: ruoyuchen10
grad-cam,Faster and more precisely than Grad-CAM
User: shinmura0
grad-cam,Visualizing the Multi-scale dense network with Grad-CAM
User: siddsax
Home Page: http://siddharthasaxena.com/blog/Visualizing-MSD-Net-with-Grad-CAM-Part-1
grad-cam,A customizable lightweight Grad-CAM implementation
User: tanjimin
grad-cam,In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
User: tootouch
grad-cam,Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
Organization: umbcvision
grad-cam,Pytorch implementation of convolutional neural network visualization techniques
User: utkuozbulak
grad-cam,Implementation of grad-cam for GoogLenet and ResNet architechtures
User: utsavgarg
grad-cam,A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.
User: vaynexie
grad-cam,First position in Gran Canary Datathon 2021
User: waterknight1998
grad-cam,GiMeFive: Towards Interpretable Facial Emotion Classification 😄😲😭😡🤢😨 (PyTorch Implementation)
User: werywjw
grad-cam,pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
User: yizt
grad-cam,Boundary box creation using a GradCAM heat-map from a pre-trained image classification model.
User: zalkikar
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