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k4r3l's Projects

big_transfer icon big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

cavaface icon cavaface

face recognition training project(pytorch)

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

freenet icon freenet

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

ganspace icon ganspace

Discovering Interpretable GAN Controls [NeurIPS 2020]

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

label-studio icon label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

learnable-triangulation-pytorch icon learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

ochumanapi icon ochumanapi

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

openpose icon openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddleseg icon paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

pose2seg icon pose2seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

pytorch-widedeep icon pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

semgcn icon semgcn

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

sort icon sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

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