Weakly Aligned Joint Cross-Modality Super Resolution

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

a generalist algorithm for cellular segmentation

The experimental code in Tensorflow for CiSS-Net

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

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

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

Compare GAN code.

Codes for paper "Mask Scoring R-CNN".

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

Models and examples built with TensorFlow

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

Code to accompany ICML 2018 paper

各类GAN综合在一起，借鉴了hwalsuklee大神的

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

Data Science Bowl 2018

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Dilated Convolution for Semantic Image Segmentation

CNN visualization tool in TensorFlow

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

code for Holistically-Nested Edge Detection