Abstract: Test-time domain adaptation adjusts a source domain model to accommodate previously unseen domain shifts in a target domain during inference. In real-world scenarios, domain shifts ...

This repository contains C and Python tutorial programs created for learning purposes, inspired by YouTube tutorials. It's a personal practice space to strengthen programming fundamentals. - Ab ...

Batch normalization (BN) is used by default in many modern deep neural networks due to its effectiveness in accelerating training convergence and boosting inference performance. Recent studies suggest ...