E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer

28 November 2023

Papers citing "E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer"

7 / 7 papers shown

Title
A Unified View of Masked Image Modeling Zhiliang Peng Li Dong Hangbo Bao QiXiang Ye Furu Wei VLM 52 35 0 19 Oct 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel Hritik Bansal S. Bhatia Ryan A. Rossi Vishwa Vinay Aditya Grover CLIP VLM 166 131 0 28 May 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality Xiang Li Wenhai Wang Lingfeng Yang Jian Yang 95 73 0 20 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding Hu Xu Gargi Ghosh Po-Yao (Bernie) Huang Dmytro Okhonko Armen Aghajanyan Florian Metze Luke Zettlemoyer Florian Metze Luke Zettlemoyer Christoph Feichtenhofer CLIP VLM 245 554 0 28 Sep 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 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 2,875 0 11 Feb 2021