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

This repository contains the code for: RerrFact model for SciVer shared task

Visual dialog agents with pre-trained vision-and-language encoders.

The Codebase for Causal Distillation for Language Models.

Visualizing lattice vibration information from phonon dispersion to atoms (For GPUMD)

This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)

StyleSwin: Transformer-based GAN for High-resolution Image Generation

Utilities to bridge Canvas-generated course rosters with GitLab's API.

[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments

Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation

[제 13회 투빅스 컨퍼런스] OK Mugle! - 장르부터 멜로디까지, Content-based Music Recommendation

Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Ascend your Jupyter Notebook usage

CUda Matrix Multiply library.

Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Jittor Medical Segmentation Lib -- The assignment of Pattern Recognition course (2021 Spring) in Tsinghua University

Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

DeLag: Detecting Latency Degradation Patterns in Service-based Systems

A TikTok-like recommender system for GitHub repositories based on Gorse

MoCoPnet - Deformable 3D Convolution for Video Super-Resolution