Really awesome semantic segmentation

Related tags

Deep Learningreally-awesome-semantic-segmentation
Overview

really-awesome-semantic-segmentation

A list of all papers on Semantic Segmentation and the datasets they use. This site is maintained by Holger Caesar. From March 15, 2018, it will not be updated anymore. To complement or correct it, please contact me at holger-at-it-caesar.com or visit it-caesar.com. Also checkout really-awesome-gan and our COCO-Stuff dataset.

Dataset importance

Dataset importance plot

Details

For details which paper uses which dataset, please open the Google Drive document.

Survey papers

Online demos

Owner
Holger Caesar
Author of the COCO-Stuff and nuScenes datasets.
Holger Caesar
GitHub Repository
Nb workflows - A workflow platform which allows you to run parameterized notebooks programmatically

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Elastic weight consolidation technique for incremental learning.

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Shivam Saboo 89 Dec 22, 2022
Official PyTorch implementation of MX-Font (Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts)

Introduction Pytorch implementation of Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expert. | paper Song Park1

Clova AI Research 97 Dec 23, 2022
Kaggle-titanic - A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

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HyperPose is a library for building high-performance custom pose estimation applications.

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Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

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An efficient PyTorch implementation of the evaluation metrics in recommender systems.

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Xingdong Zuo 12 Dec 02, 2022
SelfRemaster: SSL Speech Restoration

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Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces.

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Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces, originally created as a benchmark for generative adversarial networks (GAN)

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Python codes for Lite Audio-Visual Speech Enhancement.

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simple demo codes for Learning to Teach with Dynamic Loss Functions

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Semantic Segmentation of images using PixelLib with help of Pascalvoc dataset trained with Deeplabv3+ framework.

CARscan- Approach 1 - Segmentation of images by detecting contours. It failed because in images with elements along with cars were also getting detect

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Put blind watermark into a text with python

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Programming with Neural Surrogates of Programs

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Lexical Substitution Framework

LexSubGen Lexical Substitution Framework This repository contains the code to reproduce the results from the paper: Arefyev Nikolay, Sheludko Boris, P

Samsung 37 Sep 15, 2022
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻‍♂️

This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.

Vipul Shinde 1 Jan 27, 2022
KoRean based ELECTRA pre-trained models (KR-ELECTRA) for Tensorflow and PyTorch

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PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).

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Exploring Visual Engagement Signals for Representation Learning

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