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REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range
  Effect

REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range Effect

5 September 2022
Bingheng Li
Fushuo Huo
ArXivPDFHTML

Papers citing "REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range Effect"

5 / 5 papers shown
Title
Generalizable Prompt Tuning for Vision-Language Models
Generalizable Prompt Tuning for Vision-Language Models
Qian Zhang
VLM
VPVLM
45
0
0
04 Oct 2024
Exploring Rich Subjective Quality Information for Image Quality
  Assessment in the Wild
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
Xiongkuo Min
Yixuan Gao
Yuqin Cao
Guangtao Zhai
Wenjun Zhang
Huifang Sun
C. Chen
18
10
0
09 Sep 2024
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
Haozhao Wang
Zhicheng Chen
Peilin Zhao
VLM
MLLM
61
18
0
04 Aug 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
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