Dong Yuan's repositories
ResNet_Models_on_CIFAR10
PyTorch implementation of ResNet34 and ResNet50 v1.5
ActionCLIP
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
adapted_u-net_dense_crfs
Fully convolutional encoder-decoder network with dense conditional random fields post-processing for cell segmentation
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CMake-tutorial
CMake tutorial: beamer presentation and sample code
dlaicourse
Notebooks for learning deep learning
DOLG-pytorch
Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
drone-images-semantic-segmentation
Multi-class semantic segmentation performed on "Semantic Drone Dataset."
Explain_Metric_Learning
Code for paper: "Visual Explanation for Deep Metric Learning"
extract-streetview
extract street view spherical images and depth information
FPN_pytorch
Implement FPN with pytorch
gcloud
Google Cloud tutorial and setup
Keras-segmentation-deeplab-v3.1
An awesome semantic segmentation model that runs in real time
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Multiclass-Semantic-Segmentation-CamVid
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
netvlad_tf_open
Tensorflow port of https://github.com/Relja/netvlad
Panoramic-to-Perspective-View
Python implementation of the MATLAB implementation of "3D Geometry for Panorama" by Jianxiong Xiao.
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
ResNet-50-CBAM-PyTorch
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Semantic-segmentation-of-remote-sensing-images
遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+
Semantic-Segmentation-of-Remote-Sensing-Images-1
遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python
Siamese-tf2
这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。
TinyGrapeKit
A bunch of state estimation algorithms
unet
unet for image segmentation