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:metal: awesome-semantic-segmentation
Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)
TensorFlow Implementation of Deep Mutual Learning
Source code for our CVPR 2015 work on saliency detection by multi-context deep learning
Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
a tensorflow version for DSRG (Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing)
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Python module to create heatmaps
Python script for generating high quality heatmaps based on any coordinate data (GPS tracks, eye tracking, etc).
A Kitti Road Segmentation model implemented in tensorflow.
code for the paper ``learning to promote saliency detectors"
This repo contains all of my TensorFlow tutorials
Pytorch Implementation of PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
PyTorch implementation of paper "Gated Feedback Refinement Network for Dense Image Labeling" & "Laplacian pyramid reconstruction and refinement for semantic segmentation".
Saliency Aware Video Object Segmentation (CVPR15, PAMI18)
Saliency Detection Using Backward and Forward Features of Deep CNN IEEE ICIP 2017
Saliency detection with a convolutional autoencoder including an edge contrast penalty term to the loss to enforce sharp edges
This is tensorflow implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
Image Captions Generation with Spatial and Channel-wise Attention
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".
this is a project which evaluates the metrics of the network.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
If you want to keep a secret, you must also hide it from yourself.
A simple toolkit to easily apply image classification networks to your data.
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.