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Dynamic Contrastive Distillation for Image-Text Retrieval

Dynamic Contrastive Distillation for Image-Text Retrieval

4 July 2022
Jun Rao
Liang Ding
Shuhan Qi
Meng Fang
Yang Liu
Liqiong Shen
Dacheng Tao
    VLM
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Papers citing "Dynamic Contrastive Distillation for Image-Text Retrieval"

6 / 6 papers shown
Title
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Jianlong Wu
Yan Yan
Liqiang Nie
DiffM
47
8
0
05 Sep 2024
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language
  Understanding and Generation
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
29
26
0
30 May 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu-Lin Liu
Hengshuang Zhao
Jiaya Jia
147
416
0
19 Apr 2021
Understanding and Improving Lexical Choice in Non-Autoregressive
  Translation
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
Liang Ding
Longyue Wang
Xuebo Liu
Derek F. Wong
Dacheng Tao
Zhaopeng Tu
91
76
0
29 Dec 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1