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20212025
most citedA Survey of Visual Transformers

42 citations · 45 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

REFINE-CONTROL: A Semi-supervised Distillation Method For Conditional Image Generation

Yicheng Jiang, Jin Yuan, Hua Yuan +2

Conditional image generation models have achieved remarkable results by leveraging text-based control to generate customized images. However, the high resource demands of these mod…

cs.CV2025

Mask Consistency Regularization in Object Removal

Hua Yuan, Jin Yuan, Yicheng Jiang +3

Object removal, a challenging task within image inpainting, involves seamlessly filling the removed region with content that matches the surrounding context. Despite advancements i…

cs.CV2024

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization

Feng Hou, Jin Yuan, Ying Yang +7

Traditional cross-domain tasks, including domain adaptation and domain generalization, rely heavily on training model by source domain data. With the recent advance of vision-langu…

cs.CV2023

Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning

Jin Yuan, Yang Zhang, Yangzhou Du +4

In recent years, deep models have achieved remarkable success in various vision tasks. However, their performance heavily relies on large training datasets. In contrast, humans exh…

cs.CV2021★ 42 cited

A Survey of Visual Transformers

Yang Liu, Yao Zhang, Yixin Wang +7

Transformer, an attention-based encoder-decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some pi…