Distilled Dual-Encoder Model for Vision-Language Understanding

16 December 2021

Papers citing "Distilled Dual-Encoder Model for Vision-Language Understanding"

7 / 7 papers shown

Title
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 41 1 0 28 Jan 2025
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 71 79 0 08 Nov 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Mohit Bansal Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 185 403 0 13 Jul 2021
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 3,683 0 11 Feb 2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers Lisa Anne Hendricks John F. J. Mellor R. Schneider Jean-Baptiste Alayrac Aida Nematzadeh 75 110 0 31 Jan 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 922 0 24 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016