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
Object recognition using Azure Custom Vision AI and Azure Functions

Step by Step on how to create an object recognition model using Custom Vision, export the model and run the model in an Azure Function

El Bruno 11 Jul 08, 2022
Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.

Self Supervised Learning with Fastai Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks. Install pip install self-

Kerem Turgutlu 276 Dec 23, 2022
RL Algorithms with examples in Python / Pytorch / Unity ML agents

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Rogier Wachters 3 Aug 19, 2022
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion

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Jean-Samuel Leboeuf 0 Nov 03, 2021
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

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Robin Cole 183 Dec 16, 2022
Code for LIGA-Stereo Detector, ICCV'21

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Xiaoyang Guo 75 Dec 09, 2022
Official PyTorch Implementation of Mask-aware IoU and maYOLACT Detector [BMVC2021]

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Kemal Oksuz 46 Sep 29, 2022
Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

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Hong-Jia Chen 91 Dec 02, 2022
Neural Surface Maps

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Luca Morreale 49 Dec 13, 2022
SeqAttack: a framework for adversarial attacks on token classification models

A framework for adversarial attacks against token classification models

Walter 23 Nov 25, 2022
ThunderSVM: A Fast SVM Library on GPUs and CPUs

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Datasets, Transforms and Models specific to Computer Vision

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To prepare an image processing model to classify the type of disaster based on the image dataset

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Official pytorch implementation of paper Dual-Level Collaborative Transformer for Image Captioning (AAAI 2021).

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Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

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Tanvirul Alam 142 Jan 01, 2023
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Marianne Joy Leano 1 Mar 15, 2022
Latex code for making neural networks diagrams

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GPU Accelerated Non-rigid ICP for surface registration

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