Really 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
This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer

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Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Code For the Paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective" Author: Robert Bamler Date: 22 D

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Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

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zhql 98 Nov 16, 2022
YOLOX-Paddle - A reproduction of YOLOX by PaddlePaddle

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QuanHao Guo 6 Dec 18, 2022
Final term project for Bayesian Machine Learning Lecture (XAI-623)

Mixquality_AL Final Term Project For Bayesian Machine Learning Lecture (XAI-623) Youtube Link The presentation is given in YoutubeLink Problem Formula

JeongEun Park 3 Jan 18, 2022
A comprehensive list of published machine learning applications to cosmology

ml-in-cosmology This github attempts to maintain a comprehensive list of published machine learning applications to cosmology, organized by subject ma

George Stein 290 Dec 29, 2022
Create time-series datacubes for supervised machine learning with ICEYE SAR images.

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ICEYE Ltd 65 Jan 03, 2023
Deep Learning Algorithms for Hedging with Frictions

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A Temporal Extension Library for PyTorch Geometric

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A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017

Semantic Image Synthesis via Adversarial Learning This is a PyTorch implementation of the paper Semantic Image Synthesis via Adversarial Learning. Req

Seonghyeon Nam 146 Nov 25, 2022
Project for music generation system based on object tracking and CGAN

Project for music generation system based on object tracking and CGAN The project was inspired by MIDINet: A Convolutional Generative Adversarial Netw

1 Nov 21, 2021
Unofficial PyTorch implementation of Google AI's VoiceFilter system

VoiceFilter Note from Seung-won (2020.10.25) Hi everyone! It's Seung-won from MINDs Lab, Inc. It's been a long time since I've released this open-sour

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PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training fr

National Renewable Energy Laboratory 37 Dec 17, 2022
A PyTorch version of You Only Look at One-level Feature object detector

PyTorch_YOLOF A PyTorch version of You Only Look at One-level Feature object detector. The input image must be resized to have their shorter side bein

Jianhua Yang 25 Dec 30, 2022
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

DynaBOA Code repositoty for the paper: Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation Shanyan Guan, Jingwei Xu, Michell

197 Jan 07, 2023
This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider

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Divam Gupta 19 Dec 17, 2022
Wav2Vec for speech recognition, classification, and audio classification

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Training a deep learning model on the noisy CIFAR dataset

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A rule-based log analyzer & filter

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上山打老虎 9 Jun 23, 2022
Animal Sound Classification (Cats Vrs Dogs Audio Sentiment Classification)

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crispengari 3 Dec 05, 2022