BXuan694

待到山花烂漫时，她在丛中笑。

Pinned Repositories

AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Language:Python0 0 00
AlphaTracker
AlphaTracker is a computer vision pipeline with the practical and real-time advantages , which requires minimal hardware requirements and produces reliable tracking of multiple unmarked animals. An easy-to-use user interface further enables manual inspection and curation of results.
Language:Jupyter Notebook0 0 00
basemodel-pytorch
mainly from https://github.com/kuangliu/pytorch-cifar and some code files from orig paper added
Language:Python1 2 01
Caffe
Caffe project on Ubuntu18.04LTS + cuda10.0(1080Ti) + cuDNN7.6.5 + OpenCV3.4.11
Language:C++0 1 00
CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
Language:Python0 0 00
CS131
This is my solution to the Stanford CS131 2017FALL labs.
Language:Jupyter Notebook8 1 09
fast-UAP
Language:Python1 2 00
PyTorch-examples-and-tutorials
the examples and tutorials for starters. The resources can be find in the README.md respectively.
Language:Jupyter Notebook1 2 00
SOLO-pytorch
An instance segmentation mathod(https://arxiv.org/abs/1912.04488, https://arxiv.org/abs/2003.10152) without mmdet&mmcv.
Language:Python8 2 31
Universal-Adversarial-Perturbation
This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
Language:Python43 4 310

BXuan694's Repositories

BXuan694/Universal-Adversarial-Perturbation
This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
Language:Python43 4 310
BXuan694/CS131
This is my solution to the Stanford CS131 2017FALL labs.
Language:Jupyter Notebook8 1 09
BXuan694/SOLO-pytorch
An instance segmentation mathod(https://arxiv.org/abs/1912.04488, https://arxiv.org/abs/2003.10152) without mmdet&mmcv.
Language:Python8 2 31
BXuan694/basemodel-pytorch
mainly from https://github.com/kuangliu/pytorch-cifar and some code files from orig paper added
Language:Python1 2 01
BXuan694/fast-UAP
Language:Python1 2 00
BXuan694/PyTorch-examples-and-tutorials
the examples and tutorials for starters. The resources can be find in the README.md respectively.
Language:Jupyter Notebook1 2 00
BXuan694/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Language:Python0 0 00
BXuan694/AlphaTracker
AlphaTracker is a computer vision pipeline with the practical and real-time advantages , which requires minimal hardware requirements and produces reliable tracking of multiple unmarked animals. An easy-to-use user interface further enables manual inspection and curation of results.
Language:Jupyter Notebook0 0 00
BXuan694/Caffe
Caffe project on Ubuntu18.04LTS + cuda10.0(1080Ti) + cuDNN7.6.5 + OpenCV3.4.11
Language:C++0 1 00
BXuan694/CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
Language:Python0 0 00
BXuan694/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Language:Python0 2 00
BXuan694/deep_learning_object_detection
A paper list of object detection using deep learning.
BXuan694/DeepLabV3Plus-Pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
BXuan694/FCN-pytorch
🚘 Easiest Fully Convolutional Networks
Language:Python2 0
BXuan694/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
BXuan694/hyperlearn
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Language:Jupyter Notebook
BXuan694/ICCV2019-LearningToPaint
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
Language:Python0 0
BXuan694/MDDM
Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"
Language:Python0 0
BXuan694/mmdetection
OpenMMLab Detection Toolbox and Benchmark
BXuan694/MopNet
Official Implementation for "Mop Moire Using MopNet" (ICCV 19)
BXuan694/ObjectDetection-OneStageDet
BXuan694/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
BXuan694/pixel-anchor-link-and-text-detector-experience
结合实际项目经验谈文本检测，顺便展示一下我们只用合成数据训练的通用印刷体文本检测算法pixel-anchor-link
BXuan694/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Language:Python
BXuan694/professional-programming
A collection of full-stack resources for programmers.
Language:Python
BXuan694/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Language:Python
BXuan694/standard-readme
A standard style for README files
BXuan694/TextZoom
A super-resolution dataset of paired LR-HR scene text images
BXuan694/trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
Language:Jupyter Notebook
BXuan694/UHDM
(ECCV2022) This is the official PyTorch implementation of ECCV2022 paper: Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing