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Name: hyunkyu lim (Red)

Type: User

Company: Hyunda Motors

Bio: My myjor is Information Technology Im working for vehicle company From 2017,, I have been studying autonomous vehicle (computer vision, Deep learning)

Location: Korea

hyunkyu lim (Red)'s Projects

caffe icon caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

espnetv2 icon espnetv2

A light-weight, power efficient, and general purpose convolutional neural network

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

icnet-tensorflow icon icnet-tensorflow

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

peleenet icon peleenet

A Real-Time Object Detection System on Mobile Devices

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

py_img_seg_eval icon py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

pytorch-grad-cam icon 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

pytorch-ssd icon pytorch-ssd

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-unet icon pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

segmentation icon segmentation

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

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