Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
-
Updated
May 10, 2024 - Python
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Must-read Papers on Textual Adversarial Attack and Defense
Next RecSys Library
Training neural models with structured signals.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Implementation of Papers on Adversarial Examples
( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Awesome Domain Adaptation Python Toolbox
An Unsupervised Learning Framework for Moving Object Detection From Videos
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
SegAN: Semantic Segmentation with Adversarial Learning
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
PyTorch library for adversarial attack and training
Add a description, image, and links to the adversarial-learning topic page so that developers can more easily learn about it.
To associate your repository with the adversarial-learning topic, visit your repo's landing page and select "manage topics."