This is the official github repository of the Met dataset

Last update: Dec 17, 2022

Related tags

Deep Learning met

Overview

The Met dataset

This is the official github repository of the Met dataset. The official webpage of the dataset can be found here.

What is it?

This code provides examples for the following:

How to use the dataset.
How to evaluate your own method.
How to reproduce some of the baselines presented in the NeurIPS paper.

Prerequisites

In order to run the code you will need:

Python3
NumPy
Faiss library for efficient similarity search
PyTorch
The Met dataset from the official website

Embedding models

We provide models for descriptor extraction. You can download them here.

Pre-extracted descriptors

We provide pre-extracted descriptors. You can download them here.

Usage

Navigate (cd) to [YOUR_MET_ROOT]/met. [YOUR_MET_ROOT] is where you have cloned the github repository.

Descriptor extraction

Example script for extracting descriptors for the images of the Met dataset is located in code/examples/extract_descriptors.py

For detailed explanation of the options run:

python3 -m code.examples.extract_descriptors -h

kNN classifier & evaluation

Example evaluation script of pre-extracted descriptors with the non-parametric classifier is located in code/examples/knn_eval.py

For detailed explanation of the options run:

python3 -m code.examples.knn_eval -h

Training with contrastive loss

Example training script for trainng the embedding model with contrastive loss on the Met training set is located in code/examples/train_contrastive.py. The trained network can be used for descriptor extraction and kNN classification.

For detailed explanation of the options run:

python3 -m code.examples.train_contrastive -h

State

Repository is under update...

This is the official github repository of the Met dataset

Related tags

Overview

The Met dataset

What is it?

Prerequisites

Embedding models

Pre-extracted descriptors

Usage

State

Owner

Nikolaos-Antonios Ypsilantis

Evaluation and Benchmarking of Speech Super-resolution Methods

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

Employee-Managment - Company employee registration software in the face recognition system

SphereFace: Deep Hypersphere Embedding for Face Recognition

Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

验证码识别深度学习 tensorflow 神经网络

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

A object detecting neural network powered by the yolo architecture and leveraging the PyTorch framework and associated libraries.

Air Quality Prediction Using LSTM

PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)

Distributed Arcface Training in Pytorch

Official TensorFlow code for the forthcoming paper

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

An adaptive hierarchical energy management strategy for hybrid electric vehicles

Misc YOLOL scripts for use in the Starbase space sandbox videogame

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

AutoVideo: An Automated Video Action Recognition System

Code for approximate graph reduction techniques for cardinality-based DSFM, from paper

This is the official github repository of the Met dataset

Related tags

Overview

The Met dataset

What is it?

Prerequisites

Embedding models

Pre-extracted descriptors

Usage

State

Owner

Nikolaos-Antonios Ypsilantis

Evaluation and Benchmarking of Speech Super-resolution Methods

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

Employee-Managment - Company employee registration software in the face recognition system

SphereFace: Deep Hypersphere Embedding for Face Recognition

Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

验证码识别 深度学习 tensorflow 神经网络

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

A object detecting neural network powered by the yolo architecture and leveraging the PyTorch framework and associated libraries.

Air Quality Prediction Using LSTM

PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

End-to-End Dense Video Captioning with Parallel Decoding (ICCV 2021)

Distributed Arcface Training in Pytorch

Official TensorFlow code for the forthcoming paper

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

An adaptive hierarchical energy management strategy for hybrid electric vehicles

Misc YOLOL scripts for use in the Starbase space sandbox videogame

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

AutoVideo: An Automated Video Action Recognition System

Code for approximate graph reduction techniques for cardinality-based DSFM, from paper

验证码识别深度学习 tensorflow 神经网络