zwx8981/IAA_project

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Language
Python
Created almost 6 years ago
Updated about 5 years ago

zwx8981/IAA_project

zwx8981

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Codebase for image aesthetic assessment

DBCNN-PyTorch

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

LIQE

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

UNIQUE

The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

DBCNN

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

TCSVT-2022-BVQA

Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception

BIQA_CL

[TPAMI2023] Continual Learning for Blind Image Quality Assessment

ADTH-QA

PerceptualAttack_BIQA

[NeurIPS2022] Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop

TSN-IQA

[TIP2024] Task-specific normalization for continual learning of blind image quality models