lly2111101 Goto Github PK

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

adr_da

bdl

biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

bpnet

brain-tumor-segmentation-with-adversarial-learning

This object of this project is to develop a general brain tumor segmentation method which can be easily transfer or adapt from one domain to another domain dataset

cellpose

a generalist algorithm for cellular segmentation

ciss-net

The experimental code in Tensorflow for CiSS-Net

cmsr

Weakly Aligned Joint Cross-Modality Super Resolution

compare_gan

Compare GAN code.

cycada_release

Code to accompany ICML 2018 paper

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

dilation

Dilated Convolution for Semantic Image Segmentation

dise-domain-invariant-structure-extraction

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation

dsb2018

Data Science Bowl 2018

fastmaskrcnn

Mask RCNN in TensorFlow

focal-loss

Focal loss for Dense Object Detection

game-feature-learning

Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery, CVPR'18

heartseg

code of DenseVoxNet and 3D-DSN

hed

code for Holistically-Nested Edge Detection

infantseg

lly2111101

Config files for my GitHub profile.

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

mcd_da

models

Models and examples built with TensorFlow

mr2ct

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics