pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (-55.45%)
Mutual labels: generative-adversarial-network, domain-adaptation
Pytorch AddaA PyTorch implementation for Adversarial Discriminative Domain Adaptation
Stars: ✭ 329 (+199.09%)
Mutual labels: generative-adversarial-network, domain-adaptation
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-87.27%)
Mutual labels: generative-adversarial-network, domain-adaptation
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+494.55%)
Mutual labels: generative-adversarial-network, domain-adaptation
pytorch-domain-adaptationUnofficial pytorch implementation of algorithms for domain adaptation
Stars: ✭ 24 (-78.18%)
Mutual labels: generative-adversarial-network, domain-adaptation
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-10%)
Mutual labels: generative-adversarial-network, domain-adaptation
gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
Stars: ✭ 23 (-79.09%)
Mutual labels: generative-adversarial-network
Audio2Guitarist-GANTwo-stage GANs that generate fingerstyle guitarist images from audio.
Stars: ✭ 53 (-51.82%)
Mutual labels: generative-adversarial-network
ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (-79.09%)
Mutual labels: domain-adaptation
Articles-BookmarkedNo description or website provided.
Stars: ✭ 30 (-72.73%)
Mutual labels: generative-adversarial-network
VisDA2020VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
Stars: ✭ 53 (-51.82%)
Mutual labels: domain-adaptation
Wasserstein2GenerativeNetworksPyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Stars: ✭ 38 (-65.45%)
Mutual labels: generative-adversarial-network
keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
Stars: ✭ 60 (-45.45%)
Mutual labels: generative-adversarial-network
WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
Stars: ✭ 23 (-79.09%)
Mutual labels: generative-adversarial-network
deep-learning-roadmapmy own deep learning mastery roadmap
Stars: ✭ 40 (-63.64%)
Mutual labels: generative-adversarial-network
Awesome-GAN-Resources🤖A list of resources to help anyone getting started with GANs 🤖
Stars: ✭ 90 (-18.18%)
Mutual labels: generative-adversarial-network
DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Stars: ✭ 31 (-71.82%)
Mutual labels: domain-adaptation
AGD[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
Stars: ✭ 98 (-10.91%)
Mutual labels: generative-adversarial-network
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (-3.64%)
Mutual labels: domain-adaptation