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Yaqian Li

13 papers hereh-index 171.4k citations57 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG4
same name
  • Yaqian Li — 8 papers, h 2
  • Yaqian Li — 2 papers, h 2
  • Yaqian Li — 2 papers, h 6
  • Yaqian Li — 2 papers, h 6
  • Yaqian Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedRecognize Anything: A Strong Image Tagging Model

21 citations · 72 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

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.CV2022

Mixed Sample Augmentation for Online Distillation

Yiqing Shen, Liwu Xu, Yuzhe Yang +2

Mixed Sample Regularization (MSR), such as MixUp or CutMix, is a powerful data augmentation strategy to generalize convolutional neural networks. Previous empirical analysis has il…

cs.CV2022★ 4 cited

Personalized Image Aesthetics Assessment with Rich Attributes

Yuzhe Yang, Liwu Xu, Leida Li +4

Personalized image aesthetics assessment (PIAA) is challenging due to its highly subjective nature. People's aesthetic tastes depend on diversified factors, including image charact…

cs.CV2022★ 10 cited

Self-Distillation from the Last Mini-Batch for Consistency Regularization

Yiqing Shen, Liwu Xu, Yuzhe Yang +2

Knowledge distillation (KD) shows a bright promise as a powerful regularization strategy to boost generalization ability by leveraging learned sample-level soft targets. Yet, emplo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.