PyTorch implementations of Unsupervised Domain Adaptation Techniques.
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Updated
Oct 15, 2021
PyTorch implementations of Unsupervised Domain Adaptation Techniques.
Repository containing the Unsupervised Domain Adaptation project developed for the Deep Learning course of the Master's degree in Computer Science at University of Trento
Deep Learning project for Unsupervised Domain Adaptation
A class-based styling approach for Real-time Domain Adaptation in Semantic Segmentation
Unofficial PyTorch implementation of Maximum Domain Confusion loss for Unsupervised Domain Adaptation
Fast Cross-Domain Unsupervised Object detection through Online Style Transfer
Unsupervised Domain Adaptation through Inter-modal Rotation and Jigsaw Puzzle assembly for RGB-D Object Recognition
Aims to help emergency responders during crises (ASONAM '20)
Implementation of Cyclist Pressure Research Paper
Project crafted by Antonio Ferrigno, Giulia Di Fede and Vittorio Di Giorgio for the Advanced Machine Learning course at Politecnico di Torino (2023/2024)
Implementation of DeepJDOT in Keras
Unsupervised Domain Adaptation PyTorch
Semantic Segmentation of Indian Road Scenes through Unsupervised Domain Adaptation
Machine Learning mod. 2: Deep Learning - UniTN - Prof. Ricci- MSc AIS 2022
1st place solution for MICCAI challenge CrossMoDA 2023 (unsupervised domain adaptation for medical images)
Repository containing the Unsupervised Domain Adaptation project developed for the Deep Learning course of the master's degree in Computer Science at University of Trento
Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021
Unsupervised Domain Adaptation for Semantic Segmentation
Trends and Applications of Computer Vision - UniTN - Prof. Sebe - MSc AIS 2022
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