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The Neglected Tails in Vision-Language Models
arXiv
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由 S Parashar 著作2024被引用 30 次 — Abstract:Vision-language models (VLMs) excel in zero-shot recognition but their performance varies greatly across different visual concepts.
The Neglected Tails in Vision-Language Models
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由 S Parashar 著作2024被引用 30 次 — Vision-language models (VLMs) excel in zero-shot recognition but their performance varies greatly across different visual concepts.
10 頁
The Neglected Tails of Vision-Language Models.
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Our analysis of LAION-400M and LAION-2B helps us identify visual concepts that are under-represented in the pretraining datasets of Vision Language models.
有關 The Neglected Tails of Vision-Language Models. 的學術文章 | |
The Neglected Tails in Vision-Language Models - Parashar - 30 個引述 Vision-language models for vision tasks: A survey - Zhang - 375 個引述 | |
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The Neglected Tails of Vision-Language Models
arXiv
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We investigate the critical yet ever-neglected long-tailed issues of Vision-Language Models (VLMs). We use large language models (LLMs) to estimate concept ...
CVPR Poster The Neglected Tails in Vision-Language Models
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The Neglected Tails in Vision-Language Models
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2024年12月10日 — To address above issue, previous works can generally be divided into two categories: Prompt Engineering (PE) and Test-Time Adaptation (TTA).
The Neglected Tails in Vision-Language Models
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由 S Parashar 著作2024被引用 30 次 — Vision-language models (VLMs) excel in zero-shot recognition but their performance varies greatly across different visual concepts.
10 頁
shubhamprshr27/NeglectedTailsVLM: This repository ...
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NeglectedTailsVLM. This repository houses the code for the CVPR 2024 paper - "The Neglected Tails of Vision Language Models".
[PDF] The Neglected Tails in Vision-Language Models
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2024年1月23日 — This work uses large language models (LLMs) to count the number of pretraining texts that con-tain synonyms of these concepts and proposes REtrieval-Augmented ...
The Neglected Tails of Vision-Language Models
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Vision-language models (VLMs) excel in zero-shot recognition but exhibitdrastically imbalanced performance across visual concepts. For example, CLIP,despite ...