Repository for implementing Temporal Consistency in Semantic Segmentation model
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Updated
Sep 28, 2023 - Python
Repository for implementing Temporal Consistency in Semantic Segmentation model
Retrofitted (domain-adapted) word vectors with Word2Vec skip-gram model
PyTorch implementations of some papers on Domain Adaptation
Domain adaptation on gaze estimation from MPIIFaceGaze to ColumbiaGaze
Final project for the course Advanced Machine Learning at PoliTo.
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
Visual Domain Adaptation For Classification Task
Unsupervised Deep Domain Adaptation using Backpropagation
Evaluation code for the horse-10 dataset!
Showcases ongoing, and completed projects within various research themes.
Beyond Deterministic Translation for Unsupervised Domain Adaptation
Domain Adaptation with Dynamic Open-Set Targets
This is the official code for the paper "How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?" (AAAI2021)
A minimal PyTorch implementation of YOLOv3, with support for training, inference and evaluation. An addtional implementation of two Unsupervised Domain Adaptation methods (Direct Entropy Minimization and Fourier Domain Adaptation) integrated in the architecture.
Domain-Adaptive Edge-Guided DETR: A model using transformers for domain adaptation from Cityscapes to Foggy Cityscapes datasets.
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