TTL dynamically learns OOD textual semantics from unlabeled test streams via prompt updates, purification, and a knowledge bank to improve detection performance in pretrained VLMs.
How to exploit hyperspherical embeddings for out-of-distribution detection? InICLR
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TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models
TTL dynamically learns OOD textual semantics from unlabeled test streams via prompt updates, purification, and a knowledge bank to improve detection performance in pretrained VLMs.
- DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection