Pinned Repositories
Mask-RCNN-Shiny
tutorials
机器学习相关教程
TensorExpand
集成包
StarGAN
PyTorch Implementation of StarGAN - CVPR 2018
Semantic-Segmentation-using-Adversarial-Networks
Chainer Implementation of Semantic Segmentation using Adversarial Networks
RAS_ECCV18
Code for the ECCV 2018 paper "Reverse Attention for Salient Object Detection"
PyTorch-Tutorial
Build your neural network easy and fast
py-faster-rcnn
Train ImageNet dataset on faster-rcnn
models
Models and examples built with TensorFlow
mask-rcnn.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
USTC2016's Repositories
USTC2016/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
USTC2016/Mask-RCNN-Shiny
USTC2016/TensorExpand
集成包
USTC2016/RAS_ECCV18
Code for the ECCV 2018 paper "Reverse Attention for Salient Object Detection"
USTC2016/CCPD
CCPD: a diverse and well-annotated dataset for license plate detection and recognition
USTC2016/StarGAN
PyTorch Implementation of StarGAN - CVPR 2018
USTC2016/models
Models and examples built with TensorFlow
USTC2016/PyTorch-Tutorial
Build your neural network easy and fast
USTC2016/Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
USTC2016/DenseASPP
DenseASPP for Semantic Segmentation in Street Scenes
USTC2016/mask-rcnn.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
USTC2016/tutorials
机器学习相关教程
USTC2016/adversarial-frcnn
A-Fast-RCNN (CVPR 2017)
USTC2016/hed
USTC2016/fcn
Chainer Implementation of Fully Convolutional Networks.
USTC2016/Semantic-Segmentation-using-Adversarial-Networks
Chainer Implementation of Semantic Segmentation using Adversarial Networks
USTC2016/instance-segmentation
USTC2016/caffe
Caffe: a fast open framework for deep learning.
USTC2016/py-faster-rcnn
Train ImageNet dataset on faster-rcnn