Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Code to compute distance measurements among different domains/datasets

Code for BiseNetV1

Official Code for Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. Here the paper: https://arxiv.org/abs/2110.11650

Official Implementation of SWAD (NeurIPS 2021)

Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)

Reducing Domain Gap by Reducing Style Bias (SagNets)

Vector-Decomposed Disentanglement for Domain-Invariant Object Detection

Collection of useful scripts for deep learning projects

On the Challenges of Open World Recognition under Shifting Visual Domains

One-Shot Unsupervised Cross Domain Detection

Official implementation of https://arxiv.org/abs/2106.03496

Functions for computing metrics commonly used in the field of out-of-distribution (OOD) detection

FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Official implementation of paper "Semantic Novelty Detection via Relational Reasoning"

Repository for apiserver, reactapp and documentation of the HKNPolito recruitment platform