IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? 🤷‍♀️ Why not ! 🙆‍♀️

Tensorflow Implementation of open set domain adaptation by backpropagation

ACDFSL for Hyperspectral Image Classification

Domain Adaptive Based Semantic Segmentation

Domain Adaptation for semantic segmentation

Labeled data for cross-source cross-domain sentiment classification

PASTECA project - Land cover mapping with deep learning

Implementing domain adaptation on image classification problems

Implementation of CycleGan architecture for domain traslation used in my master's degree thesis. Used dataset is not available in this repo

Complexity metric for broadscale domain adaptation and adaptive sampling.

DAULLIE is a two-stage unsupervised deep learning system designed to enhance low-light images across multiple domains. It integrates Retinex-based preprocessing with a refined U-Net + PatchGAN architecture to restore brightness, color, and structural detail without requiring paired training data.

Study of CMDA (Cross-Modality Domain Adaptation) for Nighttime Semantic Segmentation introducing new losses between features.