Really awesome semantic segmentation

Last update: Nov 28, 2022

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

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.

GitHub Repository

Code for the Paper: Conditional Variational Capsule Network for Open Set Recognition

Conditional Variational Capsule Network for Open Set Recognition This repository hosts the official code related to "Conditional Variational Capsule N

35 Nov 21, 2022

TransMorph: Transformer for Medical Image Registration

TransMorph: Transformer for Medical Image Registration keywords: Vision Transformer, Swin Transformer, convolutional neural networks, image registrati

180 Jan 07, 2023

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

11 Dec 17, 2022

Godot RL Agents is a fully Open Source packages that allows video game creators

Godot RL Agents The Godot RL Agents is a fully Open Source packages that allows video game creators, AI researchers and hobbiest the opportunity to le

326 Dec 30, 2022

Tensorforce: a TensorFlow library for applied reinforcement learning

Tensorforce: a TensorFlow library for applied reinforcement learning Introduction Tensorforce is an open-source deep reinforcement learning framework,

3.2k Jan 02, 2023

An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

9 Apr 04, 2022

This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive Selective Coding)

HCSC: Hierarchical Contrastive Selective Coding This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive

111 Dec 20, 2022

Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

Zero-DCE and Zero-DCE++(Lite architechture for Mobile and edge Devices) Papers Abstract The paper presents a novel method, Zero-Reference Deep Curve E

15 Dec 10, 2022

🛠️ Tools for Transformers compression using Lightning ⚡

Bert-squeeze is a repository aiming to provide code to reduce the size of Transformer-based models or decrease their latency at inference time.

66 Dec 11, 2022

Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.

Continuous Speech Separation with Conformer Introduction We examine the use of the Conformer architecture for continuous speech separation. Conformer

81 Nov 28, 2022

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

3D Infomax improves GNNs for Molecular Property Prediction Video | Paper We pre-train GNNs to understand the geometry of molecules given only their 2D

95 Dec 30, 2022

Really awesome semantic segmentation

Related tags

Overview

really-awesome-semantic-segmentation

Dataset importance

Details

Survey papers

Online demos

Owner

Holger Caesar

Code for the Paper: Conditional Variational Capsule Network for Open Set Recognition

TransMorph: Transformer for Medical Image Registration

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

Godot RL Agents is a fully Open Source packages that allows video game creators

Tensorforce: a TensorFlow library for applied reinforcement learning

An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive Selective Coding)

Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

🛠️ Tools for Transformers compression using Lightning ⚡

Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Implementation of popular bandit algorithms in batch environments.

A Python library for common tasks on 3D point clouds

Official repository of the paper Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters

Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021)

Active Offline Policy Selection With Python

The AWS Certified SysOps Administrator

Project page for End-to-end Recovery of Human Shape and Pose