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This is a list of resources that utilize machine learning technologies to solve image aesthetic assessment.
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Transformer-MM-Explainability Public
Forked from hila-chefer/Transformer-MM-Explainability[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
Jupyter Notebook MIT License UpdatedJul 22, 2021 -
cavia Public
Forked from lmzintgraf/caviaCode for "Fast Context Adaptation via Meta-Learning"
Python MIT License UpdatedMar 12, 2020 -
curiosity-bottleneck Public
Forked from whyjay/curiosity-bottleneckRepository for our ICML 2019 paper: Curiosity-Bottleneck
Python UpdatedJun 27, 2019 -
AVA_review_downloader Public
Script to download AVA reviews (Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment) from the website