May 28, 2024 · Abstract:Vision-Language Models seamlessly discriminate among arbitrary semantic categories, yet they still suffer from poor generalization ...
Nov 5, 2024 · This work studies the test-time adaption (TTA) of Vision-Language Models (VLMs), where the goal is to adapt the trained VLMs to unseen datasets/ ...
For this reason, Episodic Test-Time Adaptation (TTA) strategies have recently emerged as powerful techniques to adapt VLMs in the presence of a single unlabeled ...
Vision-Language Models seamlessly discriminate among arbitrary semantic categories, yet they still suffer from poor generalization when presented with ...
Nov 2, 2024 · Test-Time Adaptation (TTA) strategies have recently emerged as powerful techniques to adapt VLMs in the presence of a single unlabeled image.
May 28, 2024 · This paper is on soft prompt learning for Vision \& Language (V&L) models. Similarly to their NLP counterparts, V\&L models can be adapted to a ...
View recent discussion. Abstract: Vision-Language Models seamlessly discriminate among arbitrary semantic categories, yet they still suffer from poor ...
People also ask
What is test time adaptation?
What are vision language models?
The paper aims to address the challenge of improving the robustness of Vision-Language Models (VLMs) through Test-Time Adaptation (TTA) strategies, specifically ...
Dec 9, 2024 · Frustratingly Easy Test-Time Adaptation of Vision-Language Models. arxiv ...
A curated list of awesome test-time instance/ batch adaptation resources. Your contributions are always welcome!