Really awesome semantic segmentation

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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
Black-Box-Tuning - Black-Box Tuning for Language-Model-as-a-Service

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PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

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A benchmark framework for Tensorflow

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A repository for storing njxzc final exam review material

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Deep Learning Specialization by Andrew Ng, deeplearning.ai.

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ICON: Implicit Clothed humans Obtained from Normals

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Statistical and Algorithmic Investing Strategies for Everyone

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CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team

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The hippynn python package - a modular library for atomistic machine learning with pytorch.

The hippynn python package - a modular library for atomistic machine learning with pytorch. We aim to provide a powerful library for the training of a

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Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at [email protected]

TableParser Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at DS3 Lab 11 Dec 13, 2022

Keyword-BERT: Keyword-Attentive Deep Semantic Matching

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The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

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Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)

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

CNN-Filter-DB An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters Paul Gavrikov, Janis Keuper Paper: htt

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PyTorch framework for Deep Learning research and development.

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SegNet including indices pooling for Semantic Segmentation with tensorflow and keras

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Mixed Transformer UNet for Medical Image Segmentation

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🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

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Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation

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