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manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mm-bp-snn

mobilenetv3.pytorch

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

msrs

myutils

Some common utils

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

objectdetection-onestagedet

ocr_densenet

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

plotneuralnet

Latex code for making neural networks diagrams

prepare_detection_dataset

convert dataset to coco/voc format

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

puzzlemix

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

rebar_detection

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

regnet-search-pytorch

Search for RegNet using PyTorch

rgbd-gg-cnn

Rgbd Generative Grasping CNN (Rgbd-GG-CNN)

rotate-yolov3

Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).

rotation-yolov5

rotation detection based on yolov5

shufflenet-series

simplecvreproduction

reproduce simple cv project including classification, object detection, segmentation, keypoint detection, tracking, attention mechanism:smile: etc.

singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

snapmix

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

speeddial

:octocat: go

supermix

Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

system_configs