Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

27 February 2023

Papers citing "Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning"

8 / 158 papers shown

Title
SCENIC: A JAX Library for Computer Vision Research and Beyond Mostafa Dehghani A. Gritsenko Anurag Arnab Matthias Minderer Yi Tay 46 68 0 18 Oct 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 259 558 0 28 Sep 2021
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 241 344 0 22 Sep 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text Hassan Akbari Liangzhe Yuan Rui Qian Wei-Hong Chuang Shih-Fu Chang Huayu Chen Boqing Gong ViT 248 577 0 22 Apr 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 298 3,700 0 11 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Joey Tianyi Zhou MLLM 256 525 0 04 Feb 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 252 927 0 24 Sep 2019
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation Tianwei Lin Xu Zhao Haisheng Su Chongjing Wang Ming Yang 139 700 0 08 Jun 2018