Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Last update: Dec 24, 2022

Overview

Human Pose Regression with Residual Log-likelihood Estimation

[Paper] [arXiv] [Project Page]

Human Pose Regression with Residual Log-likelihood Estimation
Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu
ICCV 2021 Oral

Regression with Residual Log-likelihood Estimation

TODO

Provide minimal implementation of RLE loss.
Provide implementation on Human3.6M dataset.
Provide implementation on COCO dataset.

Installation

Install pytorch >= 1.1.0 following official instruction.
Install rlepose:

pip install cython
python setup.py develop

Install COCOAPI.

pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'

Init data directory:

mkdir data

Download COCO data:

|-- data
`-- |-- coco
    `-- |-- annotations
        |   |-- person_keypoints_train2017.json
        |   `-- person_keypoints_val2017.json
        `-- images
            |-- train2017
            |   |-- 000000000009.jpg
            |   |-- 000000000025.jpg
            |   |-- 000000000030.jpg
            |   |-- ... 
            `-- val2017
                |-- 000000000139.jpg
                |-- 000000000285.jpg
                |-- 000000000632.jpg
                |-- ...

Train from scratch

./scripts/train.sh ./configs/256x192_res50_regress-flow.yaml train_rle

Evaluation

Download the pretrained model from Google Drive.

./scripts/validate.sh ./configs/256x192_res50_regress-flow.yaml ./coco-laplace-rle.pth

Citing

If our code helps your research, please consider citing the following paper:

@inproceedings{li2021human,
    title={Human Pose Regression with Residual Log-likelihood Estimation},
    author={Li, Jiefeng and Bian, Siyuan and Zeng, Ailing and Wang, Can and Pang, Bo and Liu, Wentao and Lu, Cewu},
    booktitle={ICCV},
    year={2021}
}

Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Related tags

Overview

Human Pose Regression with Residual Log-likelihood Estimation

TODO

Installation

Train from scratch

Evaluation

Citing

Owner

JeffLi

PyTorch implementations of Generative Adversarial Networks.

Simple transformer model for CIFAR10

Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR2021)

Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting

Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"

DeceFL: A Principled Decentralized Federated Learning Framework

Implicit Graph Neural Networks

List of papers, code and experiments using deep learning for time series forecasting

Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

MWPToolkit is a PyTorch-based toolkit for Math Word Problem (MWP) solving.

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

A Strong Baseline for Image Semantic Segmentation

Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz).

TriMap: Large-scale Dimensionality Reduction Using Triplets

EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks

Multiview 3D object detection on MultiviewC dataset through moft3d.

Cartoon-StyleGan2 🙃 : Fine-tuning StyleGAN2 for Cartoon Face Generation

Vit-ImageClassification - Pytorch ViT for Image classification on the CIFAR10 dataset

Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"