#
saliency-map
Here are 75 public repositories matching this topic...
Open
Notebook Examples
3
kamathhrishi
commented
Jun 27, 2019
The current examples are in the form of scripts. To make easier and more interactive for users of the library it would help to have notebooks demonstrating these examples. For now the notebooks would go under examples folder under branch 2.0 where porting to Python 3+ is happening.
Open
Add Unit Tests
1
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
machine-learning
deep-neural-networks
deep-learning
tensorflow
image-recognition
convolutional-neural-networks
object-detection
saliency-map
saliency
smoothgrad
ig-saliency
-
Updated
Jul 28, 2021 - Jupyter Notebook
Public facing deeplift repo
sensitivity-analysis
saliency-map
interpretability
guided-backpropagation
interpretable-deep-learning
deeplift
integrated-gradients
-
Updated
Nov 11, 2020 - Python
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)
python
deep-learning
grad-cam
cnn
pytorch
saliency-map
interpretability
smoothgrad
interpretable-deep-learning
gradcam
activation-maps
class-activation-map
gradcam-plus-plus
score-cam
-
Updated
Jul 28, 2021 - Python
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
nlp
deep-learning
numpy
word2vec
word-embeddings
keras
python3
pytorch
recurrent-neural-networks
attention
nmt
skipgram
doc2vec
cnn-keras
saliency-map
seq2seq-pytorch
self-attention
document-embeddings
hierarchical-attention-network
-
Updated
Mar 11, 2020 - Jupyter Notebook
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
-
Updated
Jun 8, 2021 - Python
CVPR2020, Multi-scale Interactive Network for Salient Object Detection
experimental
paper
saliency-map
saliency
salient-object-detection
saliency-detection
saliency-model
saliency-maps
cvpr2020
multi-scale-features
pretrained-parameters
paper-details
-
Updated
Jun 6, 2021 - Python
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
saliency-map
saliency
saliency-model
saliency-prediction
human-eye-fixations
saliency-attentive-model
-
Updated
Apr 29, 2019 - Python
Implementations of some popular Saliency Maps in Keras
visualization
machine-learning
deep-learning
keras
convolutional-neural-networks
gradient
saliency-map
-
Updated
May 11, 2019 - Jupyter Notebook
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
python
machine-learning
deep-learning
tensorflow
pytorch
bounding-boxes
saliency-map
image-cropping
background-removal
u2net
-
Updated
Jul 6, 2021 - Jupyter Notebook
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
-
Updated
Apr 26, 2021 - Jupyter Notebook
A Deep Multi-Level Network for Saliency Prediction. ICPR 2016
-
Updated
Jun 16, 2020 - Python
Unified Image and Video Saliency Modeling (ECCV 2020)
machine-learning
deep-learning
saliency-map
saliency
image-saliency
saliency-detection
eccv
ucf-sports
visual-salience
visual-saliency
saliency-model
saliency-prediction
salicon
video-saliency
dhf1k
eccv2020
eccv-2020
video-saliency-prediction
-
Updated
May 19, 2021 - Python
Detect model's attention
-
Updated
Jul 2, 2020 - Jupyter Notebook
Scanpath Prediction on 360 degree Images using deep learning
-
Updated
Apr 25, 2018 - Jupyter Notebook
-
Updated
Sep 23, 2018 - Jupyter Notebook
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
machine-learning
computer-vision
deep-learning
grad-cam
mnist
gradients
backpropagation
blackbox
saliency-map
cifar-10
smoothgrad
guided-backpropagation
interpretable-ai
explainable-ai
integrated-gradients
evaluate-models
-
Updated
Mar 4, 2020 - Jupyter Notebook
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)
-
Updated
Jan 6, 2021
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
numpy
svm
pytorch
lstm
dropout
gan
style-transfer
rnn
image-captioning
convolutional-neural-networks
network-visualization
knn
cifar10
saliency-map
batchnorm
softmax-classifier
cs231n-assignment
fooling-images
class-visualization
coco-dataset
-
Updated
Sep 5, 2018 - Jupyter Notebook
Repo for Tang et al, bioRxiv 454793 (2018)
machine-learning
deep-learning
convolutional-neural-networks
immunohistochemical-images
alzheimers-disease
dementia
saliency-map
pathology
medical-image-analysis
plaques
explainable-ai
interpretable-machine-learning
amlyoid-plaques
-
Updated
Mar 24, 2019 - Jupyter Notebook
Pytorch implementation of various neural network interpretability methods
pytorch
deepdream
saliency-map
occlusion-sensitivity
smoothgrad
guided-backpropagation
interpretable-deep-learning
lrp
gradient-visualization
interpretable
gradcam
deconvnet
cnn-visualization
deeplift
integrated-gradients
activation-maximization
interpretability-methods
uncertainty-interpretability
taylor-decomposition
nn-interpretability
-
Updated
Oct 14, 2020 - Jupyter Notebook
A dilated inception network for visual saliency prediction (TMM 2019)
-
Updated
Apr 30, 2021 - Python
Implementation of A Deep Multi-Level Network for Saliency Prediction in Pytorch
-
Updated
Mar 12, 2019 - Jupyter Notebook
CP-360-Weakly-Supervised-Saliency
-
Updated
Mar 23, 2019 - Python
Repository for implementation of SalNet360 in Caffe
-
Updated
Jul 5, 2018 - MATLAB
Pytorch realization for "Reverse Attention for Salient Object Detection": ECCV2018.
-
Updated
Jan 1, 2019 - Python
Visualizing image-specific class saliency map in classification ConvNets in Pytorch
-
Updated
Jul 14, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the saliency-map topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the saliency-map topic, visit your repo's landing page and select "manage topics."
Description
Currently our unit tests are disorganized and each test creates example StellarGraph graphs in different or similar ways with no sharing of this code.
This issue is to improve the unit tests by making functions to create example graphs available to all unit tests by, for example, making them pytest fixtures at the top level of the tests (see https://docs.pytest.org/en/latest/