Official code of paper "PGT: A Progressive Method for Training Models on Long Videos" on CVPR2021

Last update: Mar 30, 2022

Related tags

Deep Learning PGT

Overview

PGT

Code for paper PGT: A Progressive Method for Training Models on Long Videos.

Install

Run pip install -r requirements.txt.
Run python setup.py build develop to compile RoIAlign python wrapper.

Model zoo

Please refer to MODEL_ZOO.md

Acknowledgement

This repository is built on SlowFast.

Citing PGT

@article{pang2021pgt,
  title={PGT: A Progressive Method for Training Models on Long Videos},
  author={Pang, Bo and Peng, Gao and Li, Yizhuo and Lu, Cewu},
  journal={arXiv preprint arXiv:2103.11313},
  year={2021}
}

Owner

Bo Pang

Video Understanding, Computer Vision

GitHub Repository

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras This tutorial shows how to use Keras library to build deep ne

922 Dec 19, 2022

Chatbot in 200 lines of code using TensorLayer

Seq2Seq Chatbot This is a 200 lines implementation of Twitter/Cornell-Movie Chatbot, please read the following references before you read the code: Pr

820 Dec 17, 2022

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

DQC: Differentiable Quantum Chemistry Differentiable quantum chemistry package. Currently only support differentiable density functional theory (DFT)

75 Dec 02, 2022

Dynamic Graph Event Detection

DyGED Dynamic Graph Event Detection Get Started pip install -r requirements.txt TODO Paper link to arxiv, and how to cite. Twitter Weather dataset tra

3 May 09, 2022

Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

689 Dec 25, 2022

Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI

Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab

14 May 25, 2022

Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation by Lukas Hoyer, Dengxin Dai, and Luc Van Gool [Arxiv] [Paper] Overview Unsup

149 Dec 28, 2022

PAIRED in PyTorch 🔥

PAIRED This codebase provides a PyTorch implementation of Protagonist Antagonist Induced Regret Environment Design (PAIRED), which was first introduce

46 Dec 12, 2022

Code for "Unsupervised Source Separation via Bayesian inference in the latent domain"

LQVAE-separation Code for "Unsupervised Source Separation via Bayesian inference in the latent domain" Paper Samples GT Compressed Separated Drums GT

30 Oct 25, 2022

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networks Requirements python 0.10+ rdkit 2020.03.3.0 biopython 1.78 openbabel 2.4

3 Nov 23, 2022

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

CTR Algorithm 根据论文, 博客, 知乎等方式学习一些CTR相关的算法理解原理并自己动手来实现一遍 pytorch & tf2.0 保持一颗学徒的心！ Schedule Model pytorch tensorflow2.0 paper LR ✔️ ✔️ \ FM ✔️ ✔️ Fac

149 Dec 20, 2022

Pytorch code for semantic segmentation using ERFNet

ERFNet (PyTorch version) This code is a toolbox that uses PyTorch for training and evaluating the ERFNet architecture for semantic segmentation. For t

394 Jan 01, 2023

Animation of solving the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours

tsp-streamlit Animation of solving the traveling salesman problem to optimality using mixed-integer programming and iteratively eliminating sub tours.

4 Nov 05, 2022