Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Last update: Jan 07, 2023

Related tags

Deep Learning DynaBOA

Overview

DynaBOA

Code repositoty for the paper:

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Shanyan Guan, Jingwei Xu, Michelle Z. He, Yunbo Wang, Bingbing Ni, Xiaokang Yang

[Paper] [Project Page]

Get Started

DynaBOA has been implemneted and tested on Ubuntu 18.04 with python = 3.6.

Clone this repo:

git clone https://github.com/syguan96/DynaBOA.git

Install the requirements using miniconda:

conda env create -f dynaboa-env.yaml

Download required file from this link. Then unzip the file and move rename to data folder.

Running on the 3DPW

bash run_on_3dpw.sh

Results on 3DPW

Method	Protocol	PA-MPJPE	MPJPE	PVE
SPIN	#PS	59.2	96.9	135.1
PARE	#PS	46.4	79.1	94.2
Mesh Graphormer	#PS	45.6	74.7	87.7
DynaBOA (Ours)	#PS	40.4	65.5	82.0

Todo

DynaBOA for MPI-INF-3DHP and SURREAL
DynaBOA for the internet data.

Owner

Use this account to share code.

GitHub Repository

Bravia core script for python

Bravia-Core-Script You need to have a mandatory account If this L3 does not work, try another L3. enjoy

5 Dec 26, 2021

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

63 Oct 17, 2022

Accelerating BERT Inference for Sequence Labeling via Early-Exit

Sequence-Labeling-Early-Exit Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit Requirement: Please refer to re

23 Oct 14, 2022

Pytorch for Segmentation

Pytorch for Semantic Segmentation This repo has been deprecated currently and I will not maintain it. Meanwhile, I strongly recommend you can refer to

411 Nov 22, 2022

A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.

Built with ❤️ by Sam Showalter Contents Overview Installation Dependencies Usage Scripts Standard Execution Environment Development Environment Benchm

1 Nov 18, 2021

This is a project based on ConvNets used to identify whether a road is clean or dirty. We have used MobileNet as our base architecture and the weights are based on imagenet.

PROJECT TITLE: CLEAN/DIRTY ROAD DETECTION USING TRANSFER LEARNING Description: This is a project based on ConvNets used to identify whether a road is

3 Nov 06, 2022

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

LiDAR R-CNN: An Efficient and Universal 3D Object Detector Introduction This is the official code of LiDAR R-CNN: An Efficient and Universal 3D Object

295 Jan 05, 2023

BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o

47 Dec 26, 2022

Automatic 2D-to-3D Video Conversion with CNNs

Deep3D: Automatic 2D-to-3D Video Conversion with CNNs How To Run To run this code. Please install MXNet following the official document. Deep3D requir

1.2k Dec 30, 2022

Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.

Deep-Learning-based-Spectrum-Sensing Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectru

10 Dec 14, 2022

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Related tags

Overview

DynaBOA

Get Started

Running on the 3DPW

Results on 3DPW

Todo

Owner

Bravia core script for python

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

Accelerating BERT Inference for Sequence Labeling via Early-Exit

Pytorch for Segmentation

A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.

This is a project based on ConvNets used to identify whether a road is clean or dirty. We have used MobileNet as our base architecture and the weights are based on imagenet.

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

Automatic 2D-to-3D Video Conversion with CNNs

Use MATLAB to simulate the signal and extract features. Use PyTorch to build and train deep network to do spectrum sensing.

Enhancing Knowledge Tracing via Adversarial Training

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Simple sinc interpolation in PyTorch.

Vehicle speed detection with python

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

Robust and Accurate Object Detection via Self-Knowledge Distillation

Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-like Documents.

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way