ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens

ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens

28 September 2023

Haoyu Zhang

Mohan S. Kankanhalli

Papers citing "ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens"

7 / 7 papers shown

Title
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer Jianjian Cao Peng Ye Shengze Li Chong Yu Yansong Tang Jiwen Lu Tao Chen 35 15 0 05 Mar 2024
Making Vision Transformers Efficient from A Token Sparsification View Shuning Chang Pichao Wang Ming Lin Fan Wang David Junhao Zhang Rong Jin Mike Zheng Shou ViT 45 24 0 15 Mar 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 148 178 0 13 Sep 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 293 1,084 0 17 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 258 4,489 0 23 Jan 2020