Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning-Reference-Cited by-同舟云学术

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Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning

Published:2024-01-03 Issue: Volume:35 Page:625-634
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Zhang Gengyuan¹,Zhang Yurui²,Zhang Kerui¹,Tresp Volker¹

Affiliation:

1. LMU Munich,Munich,Germany

2. Technical University of Munich

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484512.pdf?arnumber=10484512

Reference39 articles.

1. Understanding intermediate layers using linear classifier probes;Alain,2016

2. Flamingo: a visual language model for few-shot learning;Alayrac;Advances in Neural Information Processing Systems,2022

3. Openflamingo;Awadalla,2023

4. Explaining Self-Supervised Image Representations with Visual Probing

5. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

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