hyunkyu lim (Red)'s Projects
A list of recent papers, libraries and datasets about 3D shape/geometry analysis (by topics, updating).
Udacity
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.
Caffe1 튜토리얼
Lane Finding Project for Self-Driving Car ND
README and scripts for the Cityscapes Dataset
cs231n assignments
cudnn switching tool
CVPR 2021 论文和开源项目合集
A light-weight, power efficient, and general purpose convolutional neural network
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
A TensorFlow implementation of FCN-8s
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Fast kitti object detection eval in python(finish eval in less than 10 second)
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Paper reading notes on Deep Learning and Machine Learning
Parallel t-SNE implementation with Python and Torch wrappers.
The devkit of the nuScenes dataset.
A Real-Time Object Detection System on Mobile Devices
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
An implementation of PSPNet in tensorflow, see tutorial at:
Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
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
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
TensorFlow implementation of ENet, trained on the Cityscapes dataset.