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+{"paper_url": "https://huggingface.co/papers/2102.05918", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval](https://huggingface.co/papers/2509.09118) (2025)\n* [Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval](https://huggingface.co/papers/2508.04028) (2025)\n* [HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models](https://huggingface.co/papers/2507.22431) (2025)\n* [CLIP-IN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction Editing Data and Long Captions](https://huggingface.co/papers/2508.02329) (2025)\n* [MobileCLIP2: Improving Multi-Modal Reinforced Training](https://huggingface.co/papers/2508.20691) (2025)\n* [Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment](https://huggingface.co/papers/2508.02762) (2025)\n* [Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders](https://huggingface.co/papers/2509.00177) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}