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Learning Combinatorial Prompts for Universal Controllable Image
  Captioning

Learning Combinatorial Prompts for Universal Controllable Image Captioning

11 March 2023
Zhen Wang
Jun Xiao
Yueting Zhuang
Fei Gao
Jian Shao
Long Chen
ArXivPDFHTML

Papers citing "Learning Combinatorial Prompts for Universal Controllable Image Captioning"

5 / 5 papers shown
Title
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo
Wenchao Xu
Zhong Zhang
Yining Qi
Zhicheng Chen
Peilin Zhao
VLM
MLLM
66
19
0
04 Aug 2024
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
Comprehensive Image Captioning via Scene Graph Decomposition
Comprehensive Image Captioning via Scene Graph Decomposition
Yiwu Zhong
Liwei Wang
Jianshu Chen
Dong Yu
Yin Li
87
124
0
23 Jul 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,588
0
21 Jan 2020
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