lly2111101

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'

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

game-feature-learning

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

hed

code for Holistically-Nested Edge Detection

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

mtl

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

multichannel-semseg-with-uda

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

S-cuda

Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation

tensorflow-GANs

各类GAN综合在一起，借鉴了hwalsuklee大神的

tf_cnnvis

CNN visualization tool in TensorFlow