159 Open source projects that are alternatives of or similar to Gvb

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Attending to Discriminative Certainty for Domain Adaptation

A collection of AWESOME things about domian adaptation

Awesome Domain Adaptation Python Toolbox

Domain-Adversarial Neural Network in Tensorflow

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

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

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

pytorch implementation of Domain-Adversarial Training of Neural Networks

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

POT : Python Optimal Transport

Gym environments modified with adversarial agents

Awesome Multitask Learning Resources

Take further steps in the arms race of adversarial examples with only preprocessing.

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Must-read Papers on Textual Adversarial Attack and Defense

A collection of implementations of deep domain adaptation algorithms

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Scaleable input gradient regularization

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Next RecSys Library

Implementation of Papers on Adversarial Examples

Adversarial Discriminative Domain Adaptation in Chainer

AutoDIAL Caffe Implementation

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Domain adaptation networks for digit recognitioning

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

traditional domain adaptation methods (e.g., GFK, TCA, SA)

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

A Toolbox for Adversarial Robustness Research

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

self-supervised domain adaptation

Guiding Entity Alignment via Adversarial Knowledge Embedding

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation

Training neural models with structured signals.

Reimplementing cool papers in PyTorch...

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

Domain Adaptation

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

Pytorch implementation of Deep Reconstruction Classification Networks

Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18

Transfer-Learning-Library

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

A curated list of awesome graph representation learning.

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)