Example of semantic segmentation in Keras

Last update: Mar 23, 2022

Overview

keras-semantic-segmentation-example

Example of semantic segmentation in Keras

Single class example:

Generated data: random ellipse with random color on random color background and with random noise added.

Result: 1st images is input image, 2nd image is ground truth mask, 3rd image is probability, 4th image is probability thresholded at 0.5.

Multi-class example:

Generated data: first class is random ellipse with random color and second class is random rectangle with random color on random color background and with random noise added.

Result: 1st images is input image, 2nd image is ground truth mask, 3rd image is probability, 4th image is probability thresholded at 0.5.

Owner

GitHub Repository

Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph".

multilingual-mrc-isdg Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph". This r

5 Dec 07, 2022

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

AlexNet_3dConv TensorFlow implementation of AlexNet(2012) by Alex Krizhevsky, with 3D convolutiional layers. 3D AlexNet Network with a standart AlexNe

41 Jan 16, 2022

CL-Gym: Full-Featured PyTorch Library for Continual Learning

CL-Gym: Full-Featured PyTorch Library for Continual Learning CL-Gym is a small yet very flexible library for continual learning research and developme

36 Dec 25, 2022

This code is the implementation of the paper "Coherence-Based Distributed Document Representation Learning for Scientific Documents".

Introduction This code is the implementation of the paper "Coherence-Based Distributed Document Representation Learning for Scientific Documents". If

0 Jan 11, 2022

Example of semantic segmentation in Keras

Related tags

Overview

keras-semantic-segmentation-example

Single class example:

Multi-class example:

Owner

Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph".

This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

CL-Gym: Full-Featured PyTorch Library for Continual Learning

This code is the implementation of the paper "Coherence-Based Distributed Document Representation Learning for Scientific Documents".

This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm.

Predict and time series avocado hass

Fake-user-agent-traffic-geneator - Python CLI Tool to generate fake traffic against URLs with configurable user-agents

Stock-Prediction - prediction of stock market movements using sentiment analysis and deep learning.

[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Free like Freedom

Not Suitable for Work (NSFW) classification using deep neural network Caffe models.

Evaluation framework for testing segmentation networks in PyTorch

Exploring the Dual-task Correlation for Pose Guided Person Image Generation

[CVPR 2022] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

Attention for PyTorch with Linear Memory Footprint

Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection.

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

Really awesome semantic segmentation

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks