Pinned Repositories
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
blender_renderer
Scripts for rendering shapenet data in blender
FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
120xiaochengxuyuanma
AUNets
Pytorch implementation of Multi-View Dynamic Facial Action Unit Detection, Image and Vision Computing (2018)
awesome-point-cloud-analysis-2020
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
BF3S
Boosting Few-Shot Visual Learning with Self-Supervision
Fengqi-Liu's Repositories
Fengqi-Liu/Emphasizing-Semantic-Consistency-of-Salient-Posture
Fengqi-Liu/PointMixup
Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation
Fengqi-Liu/blender_renderer
Scripts for rendering shapenet data in blender
Fengqi-Liu/PointContrast
Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>
Fengqi-Liu/OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
Fengqi-Liu/BYOL
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Fengqi-Liu/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Fengqi-Liu/LZ77-LZ78-Coding
Fengqi-Liu/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Fengqi-Liu/SceneEncoder
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor (IJCAI 2020)
Fengqi-Liu/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Fengqi-Liu/DefRec_and_PCM
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Fengqi-Liu/cutmix-semisup-seg
Semi-supervised semantic segmentation needs strong, varied perturbations
Fengqi-Liu/ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Fengqi-Liu/mean-teacher
A state-of-the-art semi-supervised method for image recognition
Fengqi-Liu/Open3D
Open3D: A Modern Library for 3D Data Processing
Fengqi-Liu/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Fengqi-Liu/FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
Fengqi-Liu/DST-CBC
Implementation of our paper "Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum"
Fengqi-Liu/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Fengqi-Liu/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
Fengqi-Liu/awesome-point-cloud-analysis-2020
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
Fengqi-Liu/DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
Fengqi-Liu/pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
Fengqi-Liu/GSDN
Generative Sparse Detection Networks for 3D Single-shot Object Detection
Fengqi-Liu/Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
Fengqi-Liu/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
Fengqi-Liu/pcl2pcl-gan-pub
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
Fengqi-Liu/PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
Fengqi-Liu/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation