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20202023
most citedRecognize Anything: A Strong Image Tagging Model

21 citations · 60 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 3 cited

Open-Set Image Tagging with Multi-Grained Text Supervision

Xinyu Huang, Yi-Jie Huang, Youcai Zhang +6

In this paper, we introduce the Recognize Anything Plus Model (RAM++), an open-set image tagging model effectively leveraging multi-grained text supervision. Previous approaches (e…

cs.CV2023★ 21 cited

Recognize Anything: A Strong Image Tagging Model

Youcai Zhang, Xinyu Huang, Jinyu Ma +9

We present the Recognize Anything Model (RAM): a strong foundation model for image tagging. RAM makes a substantial step for large models in computer vision, demonstrating the zero…

cs.CV2023★ 11 cited

Tag2Text: Guiding Vision-Language Model via Image Tagging

Xinyu Huang, Youcai Zhang, Jinyu Ma +6

This paper presents Tag2Text, a vision language pre-training (VLP) framework, which introduces image tagging into vision-language models to guide the learning of visual-linguistic…

cs.CV2022★ 7 cited

IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training

Xinyu Huang, Youcai Zhang, Ying Cheng +7

Vision-Language Pre-training (VLP) with large-scale image-text pairs has demonstrated superior performance in various fields. However, the image-text pairs co-occurrent on the Inte…

cs.CV2020★ 1 cited

Prime-Aware Adaptive Distillation

Youcai Zhang, Zhonghao Lan, Yuchen Dai +4

Knowledge distillation(KD) aims to improve the performance of a student network by mimicing the knowledge from a powerful teacher network. Existing methods focus on studying what k…