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20212023
most citedMST: Masked Self-Supervised Transformer for Visual Representation

29 citations · 48 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023

FreConv: Frequency Branch-and-Integration Convolutional Networks

Zhaowen Li, Xu Zhao, Peigeng Ding +4

Recent researches indicate that utilizing the frequency information of input data can enhance the performance of networks. However, the existing popular convolutional structure is…

cs.CV2023★ 2 cited

Efficient Masked Autoencoders with Self-Consistency

Zhaowen Li, Yousong Zhu, Zhiyang Chen +5

Inspired by the masked language modeling (MLM) in natural language processing tasks, the masked image modeling (MIM) has been recognized as a strong self-supervised pre-training me…

cs.CV2022★ 8 cited

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

Zhiyang Chen, Yousong Zhu, Zhaowen Li +8

Visual tasks vary a lot in their output formats and concerned contents, therefore it is hard to process them with an identical structure. One main obstacle lies in the high-dimensi…

cs.CV2022★ 9 cited

Transfering Low-Frequency Features for Domain Adaptation

Zhaowen Li, Xu Zhao, Chaoyang Zhao +2

Previous unsupervised domain adaptation methods did not handle the cross-domain problem from the perspective of frequency for computer vision. The images or feature maps of differe…

cs.CV2022

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Zhaowen Li, Yousong Zhu, Fan Yang +9

Self-supervised learning (SSL) holds promise in leveraging large amounts of unlabeled data. However, the success of popular SSL methods has limited on single-centric-object images…

cs.CV2021★ 29 cited

MST: Masked Self-Supervised Transformer for Visual Representation

Zhaowen Li, Zhiyang Chen, Fan Yang +8

Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it has not been fully explored in visual…