Generating More Pertinent Captions by Leveraging Semantics and Style on
Multi-Source Datasets

Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets

24 November 2021

Marcella Cornia

Lorenzo Baraldi

Papers citing "Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets"

8 / 8 papers shown

Title
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 380 4,010 0 28 Jan 2022
From Show to Tell: A Survey on Deep Learning-based Image Captioning Matteo Stefanini Marcella Cornia Lorenzo Baraldi S. Cascianelli G. Fiameni Rita Cucchiara 3DV VLM MLLM 51 244 0 14 Jul 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 174 342 0 13 Jul 2021
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning Krishna Srinivasan K. Raman Jiecao Chen Michael Bendersky Marc Najork VLM 181 307 0 02 Mar 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 273 845 0 17 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
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
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