README.md

Awesome-CLIP-APP

This is a repository for organizing articles related to CLIP application. Most papers are linked to the pdf address provided by "arXiv" or "Openaccess". However, some papers require an academic license to browse. For example, IEEE, springer, and elsevier journal, etc.

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Table of Contents (ongoing)

• 1. Existing Repositories
• 2. Application

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1. Existing Repositories

1) "yzhuoning/Awesome-CLIP". [code]

2. Application

1) "Exploiting Unlabeled Data with Vision and Language Models for Object Detection", ECCV 2022. [paper][code]

2) "Simple but Effective: CLIP Embeddings for Embodied AI", CVPR 2022. [paper][code]

3) "OPTIMAL REPRESENTATIONS FOR COVARIATE SHIFT", ICLR 2022. [paper][code]

4) "Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification", ECCV 2022. [paper][code]

5) "Image Segmentation Using Text and Image Prompts", CVPR 2022. [paper][code]

6) "Exploring CLIP for Assessing the Look and Feel of Images", ECCV 2022. [paper]

7) "S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning", Arxiv. [paper]

8) "Expanding Language-Image Pretrained Models for General Video Recognition", ECCV 2022 oral. [paper][code]

9) "Fine-Grained Semantically Aligned Vision-Language Pre-Training", Arxiv. [paper]

10) "Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning", Arxiv. [paper]

11) "CONTINUAL LEARNING USING PSEUDO-REPLAY VIA LATENT SPACE SAMPLING", Arxiv. [paper]

12) "LANGUAGE-DRIVEN SEMANTIC SEGMENTATION", ICLR 2022. [paper]

Search keyword

• CLIP

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