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3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

advsemiseg

Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

caffe-shufflenet

This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"

cbst

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.

deep-compression-alexnet

Deep Compression on AlexNet

deeplab-context

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

dsrg

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018)

fast-rcnn

Fast R-CNN

faster_rcnn

Faster R-CNN

filterlearning-ios

gapid

Graphics API Debugger

graduallyglobalpruning

The gradually global pruning example

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras-rcnn

Keras package for region-based convolutional neural networks (RCNNs)

keras-shufflenet

ShuffleNet Implementation using Keras Functional Framework 2.0

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

kits19-challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

kmeans

K Means Clustering with Python

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

machine-learning

机器学习实战（Python3）

mask_rcnn

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

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

mnet_deepcdr

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

models

Models and examples built with TensorFlow

objectcontourdetector

physcap_demo_release

PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on [SIGGRAPH Aisa'20](https://vcai.mpi-inf.mpg.de/projects/PhysCap/).

pyimageclassification

Image Feature Extraction and Classification Using Python