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One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and
  Inter-Image Attention Design

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design

11 November 2022
Yikai Yan
Chaoyue Niu
Fan Wu
Qinya Li
Shaojie Tang
Chengfei Lyu
Guihai Chen
ArXivPDFHTML

Papers citing "One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design"

5 / 5 papers shown
Title
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Unsupervised Domain Adaptation for Nighttime Aerial Tracking
Junjie Ye
Changhong Fu
Guang-Zheng Zheng
D. Paudel
Guang Chen
75
70
0
20 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
260
7,434
0
11 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
325
2,261
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,843
0
18 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,689
0
11 Feb 2021
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