APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP-Reference-Cited by-同舟云学术

APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Singha Mainak¹,Jha Ankit¹,Solanki Bhupendra¹,Bose Shirsha²,Banerjee Biplab¹

Affiliation:

1. Indian Institute of Technology Bombay,India

2. Technical University of Munich,Germany

Publisher

IEEE

Link

Reference75 articles.

1. In search of lost domain generalization;gulrajani,2020

2. Matching networks for one shot learning;vinyals;Advances in neural information processing systems,2016

3. Clip-adapter: Better vision-language models with feature adapters;gao,2021

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4. C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing;Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing;2023-12-15

5. AD-CLIP: Adapting Domains in Prompt Space Using CLIP;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02