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alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

artificio

Deep learning computer vision algorithms for real-world use

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bicyclegan-pytorch

Pytorch implementation of BicycleGAN with implementation details

cabbage

Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

caffe

Caffe: a fast open framework for deep learning.

caffe-1

caffe-sl

caffe for Similarity Learning

caffe_cyclegan

A Caffe/C++ implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

cogan

combogan

cross-domain-detection

Codes and datasets for 'Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation' [Inoue+, CVPR2018].

cv

My YAML cv and resume.

cycle-gan

CycleGAN from MNIST->SVHN

da-faster-rcnn

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

dda

deep-coral-tf

A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation

deep-domain-adaptation

deep-person-reid

Pytorch implementation of deep person re-identification models.

domain-adaptation-papers-and-codes

domain-adaptation-with-snes

domain_adaptation_iccv15

A PyTorch implement of ICCV2015 "Simultaneous Deep Transfer Across Domains and Tasks"

facenet_pytorch

PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

gan

Official implementation of paper: From source to target and back: symmetric bi-directional adaptive GAN

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ican

Incremental Collaborative and Adversarial Network for Unsupervised Domain Adaptation(iCAN)

latent_domains_da

Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.

learning-to-see-in-the-dark

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation