Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank

no code implementations • 26 Jan 2024 • Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang

Test-time domain adaptation effectively adjusts the source domain model to accommodate unseen domain shifts in a target domain during inference.

Test-time Adaptation

Deep Clustering with Features from Self-Supervised Pretraining

no code implementations • 27 Jul 2022 • Xingzhi Zhou, Nevin L. Zhang

A deep clustering model conceptually consists of a feature extractor that maps data points to a latent space, and a clustering head that groups data points into clusters in the latent space.

Clustering Deep Clustering +1