Jiarong Ou's repositories
Semantic-Segmentation
List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Cap2Det
Implementation of our ICCV 2019 paper "Cap2Det: Learning to AmplifyWeak Caption Supervision for Object Detection"
CenterPoint
Export CenterPoint PonintPillars ONNX Model For TensorRT
cocoapi
COCO API - Dataset @ http://cocodataset.org/
CONTA
Implementation for NeurIPS oral paper: Causal Intervention for Weakly-Supervised Semantic Segmentation
cs231n.github.io
Public facing notes page
CSC
Category-Aware Spatial Constraint for Weakly Supervised Detection
deep_learning_object_detection
A paper list of object detection using deep learning.
DSRG-tensorflow
a tensorflow version for DSRG (Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing)
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
GNNPapers
Must-read papers on graph neural networks (GNN)
HyperGCN
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Learning-SICP
MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
limited-label-scene-graphs
Scene Graph Prediction with Limited Labels
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
mmdetection
Open MMLab Detection Toolbox and Benchmark
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
PointPillars_MultiHead_40FPS
A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.
pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo.
pytorch_MELM
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
SEC_pytorch
PyTorch implementation of "Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation", ECCV2016
SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
WS-JDS
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
wss
A simple consistency training framework for semi-supervised image semantic segmentation