Jiarong Ou (JaringAu)

JaringAu

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Company:South China University of Technology

Location:Guangzhou, China

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Jiarong Ou's starred repositories

insightface

State-of-the-art 2D and 3D Face Analysis Project

Language:PythonLicense:MITStargazers:23028Issues:510Issues:2476

detr

End-to-End Object Detection with Transformers

Language:PythonLicense:Apache-2.0Stargazers:13433Issues:149Issues:526

PythonPark

Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

PRMLT

Matlab code of machine learning algorithms in book PRML

Language:MATLABLicense:MITStargazers:6010Issues:405Issues:30

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Language:PythonLicense:MITStargazers:4743Issues:52Issues:135

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Language:PythonLicense:Apache-2.0Stargazers:4617Issues:71Issues:1433

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4066Issues:47Issues:197

3D-PointCloud

Papers and Datasets about Point Cloud.

InsightFace_Pytorch

Pytorch0.4.1 codes for InsightFace

Language:Jupyter NotebookLicense:MITStargazers:1738Issues:25Issues:184

SOLO

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Language:PythonLicense:NOASSERTIONStargazers:1698Issues:32Issues:239

SoTA-Point-Cloud

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

Language:PythonLicense:MITStargazers:539Issues:10Issues:46

1-stage-wseg

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Language:PythonLicense:Apache-2.0Stargazers:379Issues:21Issues:29

FewX

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

Language:PythonLicense:MITStargazers:346Issues:14Issues:76

PointPillars_MultiHead_40FPS

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

Language:C++License:GPL-3.0Stargazers:278Issues:6Issues:41

DSRG

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

Language:PythonLicense:MITStargazers:251Issues:12Issues:26

SEC

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Language:Jupyter NotebookLicense:MITStargazers:245Issues:6Issues:19

CenterPoint

Export CenterPoint PonintPillars ONNX Model For TensorRT

Language:PythonLicense:MITStargazers:204Issues:6Issues:32

CONTA

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

Language:PythonLicense:MITStargazers:185Issues:4Issues:23

wss

A simple consistency training framework for semi-supervised image semantic segmentation

Language:PythonLicense:Apache-2.0Stargazers:164Issues:11Issues:14

DR_loss

PyTorch Implementation for DR Loss

Language:PythonLicense:Apache-2.0Stargazers:110Issues:7Issues:10

SSENet-pytorch

The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.

Language:PythonLicense:MITStargazers:101Issues:4Issues:4

WSIS_BBTP

Implementation of NeurIPS 2019 paper "Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior"

Language:C++License:MITStargazers:97Issues:9Issues:13

sample-weighting-network

Implementation of 'Learning a Unified Sample Weighting Network for Object Detection' [CVPR 2020]

WSOD-Paper-List

A paper list of state-of-the-art weakly supervised object detection or localization.

DSRG-tensorflow

a tensorflow version for DSRG (Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing)

QC-DGM

Official code for the paper: Deep Graph Matching under Quadratic Constraint (CVPR 2021)

seeing-without-looking

PyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization (CVPR 2020)

Language:PythonLicense:MITStargazers:29Issues:3Issues:4

SEC_pytorch

PyTorch implementation of "Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation", ECCV2016