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followers: 8.0 following: 10.0 repos: 76.0 gists: 0.0

Name: Xiaolong Liu

Type: User

Company: Tsinghua University

Location: Beijing, China

Blog: http://www.xllau.icoc.me

Xiaolong Liu's Projects

adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

apollo

An open autonomous driving platform

apollo-kernel

Collections of Apollo Kernels

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

avod

Code for 3D object detection for autonomous driving

awesome-deep-vision

A curated list of deep learning resources for computer vision

balanced-dataparallel

这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量

caffe

Caffe: a fast open framework for deep learning.

caffe-googlenet-bn

use python to implement the prototxt

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-rfcn

Caffe branch for R-FCN

caffe-weighted-samples

Caffe fork that supports training with weighted samples http://caffe.berkeleyvision.org/

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

cityscapesscripts

README and scripts for the Cityscapes Dataset

cv-cuda

CV-CUDA™ is an open-source, graphics processing unit (GPU)-accelerated library for cloud-scale image processing and computer vision.

darknet-yolo

Object Detection End-to-End framework

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplab-pytorch

PyTorch implementation of DeepLab v2 (ResNet) + COCO-Stuff 10k/164k

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deformable-convnets

Deformable Convolutional Networks

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dilation

Dilated Convolution for Semantic Image Segmentation

dynamic-conditional-networks.pytorch

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

expresso

expresso(tool for prototxt edition)

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

get_pixel

get pixels value in an image by mouse click anywhere.

git_test

Just for tutorial

gscnn

Gated-Shape CNN for Semantic Segmentation

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