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baochun123's Projects

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

c3d-keras icon c3d-keras

train C3D with keras for action recognition

c3d-tensorflow icon c3d-tensorflow

C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

csp icon csp

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

hw2_image_classification icon hw2_image_classification

利用TensorFlow(TF),本作业实现了一个基于full convolution stack、inception v2 module等模块的图片分类网络,纵向共包含10层包含参数的层,采用自己搭建的卷积层。对于dset1与dset2采用同样的网络结构,分别进行训练。最终在dset1验证集(约含900张图,下同)上的Top1分类准确率约为0.52,在dset2验证集上的Top1准确率约为0.63。在K80显卡的单核上,该模型的训练速度约为205张图每秒,最终所得模型的checkpoint约为45MB。

javaguide icon javaguide

「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。

kaldi icon kaldi

This is now the official location of the Kaldi project.

ml_gcn icon ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

nturgb-d icon nturgb-d

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

st-gcn icon st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

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