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Grafting Pre-trained Models for Multimodal Headline Generation

Grafting Pre-trained Models for Multimodal Headline Generation

14 November 2022
Lingfeng Qiao
Chen Wu
Ye Liu
Haoyuan Peng
Di Yin
Bo Ren
ArXivPDFHTML

Papers citing "Grafting Pre-trained Models for Multimodal Headline Generation"

4 / 4 papers shown
Title
Leveraging Key Information Modeling to Improve Less-Data Constrained
  News Headline Generation via Duality Fine-Tuning
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Zhuoxuan Jiang
Lingfeng Qiao
Di Yin
Shanshan Feng
Bo Ren
SyDa
15
2
0
10 Oct 2022
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene
  Segmentation and Classification
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification
Ye Liu
Lingfeng Qiao
Di Yin
Zhuoxuan Jiang
Xinghua Jiang
Deqiang Jiang
Bo Ren
11
7
0
04 Jul 2022
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
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
242
554
0
28 Sep 2021
UniMS: A Unified Framework for Multimodal Summarization with Knowledge
  Distillation
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation
Zhengkun Zhang
Xiaojun Meng
Yasheng Wang
Xin Jiang
Qun Liu
Zhenglu Yang
31
32
0
13 Sep 2021
1