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Sunxy's Projects

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

corrpm icon corrpm

Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"

dcnv2_latest icon dcnv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

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"

emotional-analysis-of-internet-news icon emotional-analysis-of-internet-news

“互联网新闻情感分析”赛题,是CCF大数据与计算智能大赛赛题之一。对新闻情绪进行分类,0代表正面情绪、1代表中性情绪、2代表负面情绪。

git icon git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

grad-cam.pytorch icon grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

imooc_miaosha icon imooc_miaosha

该项目是本人学习慕课网[Java秒杀系统方案优化 高性能高并发实战]后上传的源代码以及课程笔记.

mmcnn icon mmcnn

Multi-Memory Convolutional Neural Network for Video Super-Resolution

models icon models

Models and examples built with TensorFlow

rsgnet icon rsgnet

The project is an official implementation of our paper " RSGNet: Relation based Skeleton Graph Network for Crowded Scenes Pose Estimation"

smoke icon smoke

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

smoking-faces icon smoking-faces

This is a command line tool that analyze videos and detects if a person is smoking.

sor icon sor

implementation of "Salient Object Ranking with Position-Preserved Attention"

tf-pose-estimation icon tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

unipose icon unipose

We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.

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