Prompting in Vision


Uncovering the Hidden Cost of Model Compression
Diganta Misra,
Muawiz Chaudhary,
Agam Goyal,
Bharat Runwal,
Pin Yu Chen
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Misra_2024_CVPR, author = {Misra, Diganta and Chaudhary, Muawiz and Goyal, Agam and Runwal, Bharat and Chen, Pin Yu}, title = {Uncovering the Hidden Cost of Model Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1611-1621} }

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
Gahyeon Kim,
Sohee Kim,
Seokju Lee
[pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2024_CVPR, author = {Kim, Gahyeon and Kim, Sohee and Lee, Seokju}, title = {AAPL: Adding Attributes to Prompt Learning for Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1572-1582} }

What Makes Multimodal In-Context Learning Work?
Folco Bertini Baldassini,
Mustafa Shukor,
Matthieu Cord,
Laure Soulier,
Benjamin Piwowarski
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baldassini_2024_CVPR, author = {Baldassini, Folco Bertini and Shukor, Mustafa and Cord, Matthieu and Soulier, Laure and Piwowarski, Benjamin}, title = {What Makes Multimodal In-Context Learning Work?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1539-1550} }

Low-Rank Few-Shot Adaptation of Vision-Language Models
Maxime Zanella,
Ismail Ben Ayed
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zanella_2024_CVPR, author = {Zanella, Maxime and Ben Ayed, Ismail}, title = {Low-Rank Few-Shot Adaptation of Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1593-1603} }

Prompting Foundational Models for Omni-supervised Instance Segmentation
Arnav M. Das,
Ritwick Chaudhry,
Kaustav Kundu,
Davide Modolo
[pdf]
[bibtex]
@InProceedings{Das_2024_CVPR, author = {Das, Arnav M. and Chaudhry, Ritwick and Kundu, Kaustav and Modolo, Davide}, title = {Prompting Foundational Models for Omni-supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1583-1592} }

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
Hao Chen,
Ran Tao,
Han Zhang,
Yidong Wang,
Xiang Li,
Wei Ye,
Jindong Wang,
Guosheng Hu,
Marios Savvides
[pdf] [supp]
[bibtex]
@InProceedings{Chen_2024_CVPR, author = {Chen, Hao and Tao, Ran and Zhang, Han and Wang, Yidong and Li, Xiang and Ye, Wei and Wang, Jindong and Hu, Guosheng and Savvides, Marios}, title = {Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1551-1561} }

Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts
Övgü Özdemir,
Erdem Akagündüz
[pdf]
[bibtex]
@InProceedings{Ozdemir_2024_CVPR, author = {\"Ozdemir, \"Ovg\"u and Akag\"und\"uz, Erdem}, title = {Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1562-1571} }

PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model
Jorge Quesada,
Mohammad Alotaibi,
Mohit Prabhushankar,
Ghassan Alregib
[pdf]
[bibtex]
@InProceedings{Quesada_2024_CVPR, author = {Quesada, Jorge and Alotaibi, Mohammad and Prabhushankar, Mohit and Alregib, Ghassan}, title = {PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {1604-1610} }