Pinned Repositories
BasicBackbones
Implemention of basic backbones in pytorch version, including VGG, ResNet, DenseNet
BTSDepthEstimation
Implemention of BTS.
depth_completion
Little collection of tensorflow examples for depth completion.
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Flappy_Bird
Github_Images
KittiDataset
Dataloader of kitti raw/odometry/stereo dataset for training/val/test.
MedicalTreat_Diabetes
天池精准医疗大赛——人工智能辅助糖尿病遗传风险预测
SparseCNNs
LCJHust's Repositories
LCJHust/MedicalTreat_Diabetes
天池精准医疗大赛——人工智能辅助糖尿病遗传风险预测
LCJHust/BTSDepthEstimation
Implemention of BTS.
LCJHust/BasicBackbones
Implemention of basic backbones in pytorch version, including VGG, ResNet, DenseNet
LCJHust/KittiDataset
Dataloader of kitti raw/odometry/stereo dataset for training/val/test.
LCJHust/SparseCNNs
LCJHust/depth_completion
Little collection of tensorflow examples for depth completion.
LCJHust/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
LCJHust/FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
LCJHust/Flappy_Bird
LCJHust/Github_Images
LCJHust/interview-computer-vision
:books: 计算机视觉笔记和总结
LCJHust/kitti
Tools for working with the KITTI dataset in Python
LCJHust/LCJHust.github.io
LCJHust/models
Models and examples built with TensorFlow
LCJHust/neuralrgbd
Neural RGB→D Sensing: Per-pixel depth and its uncertainty estimation from a monocular RGB video
LCJHust/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
LCJHust/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
LCJHust/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)
LCJHust/Semantic-segmentation
采用Pytorch的入门语义分割项目，支持的网络有Unet和Segnet；遥感语义分割；Unet；Segnet；Remote sensing semantic segmentation；