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Zhiyong Gan

2 accepted papers

2026

TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models

CVPR 2026

Vision-language models (VLMs) such as CLIP exhibit strong Out-of-distribution (OOD) detection capabilities by aligning visual and textual representations. Recent CLIP-based test-time adaptation methods further improve detection performance by incorporating external OOD labels. However, such labels a

Cited by 0SourcecodeScholar
2025

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

IJCAI 2025

Continual Anomaly Detection (CAD) enables anomaly detection models in learning new classes while preserving knowledge of historical classes. CAD faces two key challenges: catastrophic forgetting and segmentation of small anomalous regions. Existing CAD methods store image distributions or patch feat