Exploring CLIP for Real World, Text-based Image Retrieval-Reference-Cited by-同舟云学术

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Exploring CLIP for Real World, Text-based Image Retrieval

Published:2023-09-27 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
language:
Short-container-title:

Author:

Sultan Manal¹,Jacobs Lia²,Stylianou Abby³,Pless Robert⁴

Affiliation:

1. California Institute of Technology,Computer Science,Pasadena,California

2. Ohio State University,Computer Science,Columbus,Ohio

3. Saint Louis University,Computer Science,Saint Louis,Missouri

4. George Washington University,Computer Science,Washington, DC,United States

Funder

National Institute of Justice

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440654/10440655/10440710.pdf?arnumber=10440710

Reference18 articles.

1. Conditioned and composed image retrieval combining and partially fine-tuning CLIP-based features

2. Evaluation of Image Inpainting for Classification and Retrieval

3. What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education

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