Gated Domain Units (GDU) aim to make your deep learning models robust against distribution shifts when applied in the real-world.
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Updated
Aug 11, 2023 - Jupyter Notebook
Gated Domain Units (GDU) aim to make your deep learning models robust against distribution shifts when applied in the real-world.
Official pytorch implementation of the paper [Environment Agnostic Representation for Visual Reinforcement learning]
Project Page (ObjectDR)
This is the training and test code for ECCV2022 workshop NICO challenge
This repository contains the code for the paper Modularity Trumps Invariance for Compositonal Robustness.
[CVPR 2023] Domain Generalized Stereo Matching via Hierarchical Visual Transformation
An unofficial implementation of Frustratingly Simple Domain Generalization via Image Stylization
Official code for the paper "Domain Generalization for Crop Segmentation with Knowledge Distillation"
[AAAI24] Learning Invariant Inter-pixel Correlations for Superpixel Generation
Submission for task 2 "Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques" of the DCASE challenge 2022 (https://dcase.community/challenge2022/task-unsupervised-anomalous-sound-detection-for-machine-condition-monitoring).
[https://arxiv.org/abs/2208.09198] Test-Time Training for Universal Cross-Domain Retrieval
code for "Learning Generalizable Part-based Feature Representation for 3D Point Clouds" (NeurIPS 2022)
[IJCV 2022] Domain-Specific Bias Filtering for Single Labeled Domain Generalization
[Neurocomputing 2023] An official implementation of Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning
Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".
Code for Princeton ORFE Senior Thesis (Domain Generalization for Deep Learning-Based Glaucoma Classification)
Do Domain Generalization Methods Generalize Well? (Workshop on Machine Learning Safety at NeurIPS 2022).
Code for my paper "Semi-Supervised Unconstrained Head Pose Estimation in the Wild"
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