Pinned Repositories
adacrowd
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
ASNet
attention
some attention implements
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Awesome-Crowd-Counting
Awesome Crowd Counting
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
C-3-Framework
An open-source PyTorch code for crowd counting
caffe
Caffe: a fast open framework for deep learning.
caffe-yolo9000
Caffe for YOLOv2 & YOLO9000
maohule's Repositories
maohule/adacrowd
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting
maohule/ASNet
maohule/attention
some attention implements
maohule/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
maohule/Awesome-Crowd-Counting
Awesome Crowd Counting
maohule/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
maohule/Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
maohule/CAM
Class Activation Mapping
maohule/dataset
maohule/DCNv2
maohule/DeepLabV3Plus-Pytorch
DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes
maohule/DenseASPP
DenseASPP for Semantic Segmentation in Street Scenes
maohule/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
maohule/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
maohule/IIM
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
maohule/MobileCount
code of MobileCount
maohule/NWPU-Crowd-Sample-Code
The sample code for a large-scale crowd counting dataset, NWPU-Crowd.
maohule/PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
maohule/PCC-Net
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
maohule/PCEDNet
maohule/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
maohule/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)
maohule/pytorch-doc-zh
Pytorch 中文文档
maohule/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
maohule/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
maohule/rtl8821CU
Realtek RTL8811CU/RTL8821CU USB Wi-Fi adapter driver for Linux
maohule/SFANet-crowd-counting
This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.
maohule/test
maohule/vigra-feedstock
A conda-smithy repository for vigra.
maohule/vision
Datasets, Transforms and Models specific to Computer Vision