Repository for implementing Temporal Consistency in Semantic Segmentation model
-
Updated
Sep 28, 2023 - Python
Repository for implementing Temporal Consistency in Semantic Segmentation model
Pytorch implementation for the paper Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Retrofitted (domain-adapted) word vectors with Word2Vec skip-gram model
Some experiments with domain adaptation using GANs.
PyTorch implementations of some papers on Domain Adaptation
Gated Domain Units (GDU) aim to make your deep learning models robust against distribution shifts when applied in the real-world.
A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. Final project from MLDL course 2020/2021
Domain adaptation on gaze estimation from MPIIFaceGaze to ColumbiaGaze
Final project for the course Advanced Machine Learning at PoliTo.
Brain Tumour Segmentation with TrUE-Net tool - top 10 DL model in MICCAI BraTS 2020
This repo provides source code for MVI paper: Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation
Electra 학습 구조를 구현하고 Domain Adaptation 수행
Uses optimal transport to adapt models trained on MNIST to make predictions on EMNIST
Flextuning, WACV 2020
Camera-Invariant Domain Adaptation (Semantic Segmentation)
Contains the tensorflow implementation of Domain Adversarial training of Neural Network (DANN) introduced by the paper: https://arxiv.org/pdf/1505.07818.pdf
The official code open source version of BFDA - based on YOLOv5
[AAAI2023] Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Visual Domain Adaptation For Classification Task
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Add a description, image, and links to the domain-adaptation topic page so that developers can more easily learn about it.
To associate your repository with the domain-adaptation topic, visit your repo's landing page and select "manage topics."