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Title: GitHub - tmlr-group/IFR: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction"

Open Graph Title: GitHub - tmlr-group/IFR: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction"

X Title: GitHub - tmlr-group/IFR: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction"

Description: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction" - tmlr-group/IFR

Open Graph Description: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction" - tmlr-group/IFR

X Description: [IJCV 2025] "Cross-domain Few-shot Classification via Invariant-content Feature Reconstruction" - tmlr-group/IFR

Opengraph URL: https://github.com/tmlr-group/IFR

X: @github

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https://patch-diff.githubusercontent.com/tmlr-group/IFR#-cross-domain-few-shot-classification-via-invariant-content-feature-reconstruction-
https://link.springer.com/journal/11263
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https://patch-diff.githubusercontent.com/tmlr-group/IFR/blob/main
https://patch-diff.githubusercontent.com/tmlr-group/IFR/blob/main
Cross-domain Few-shot Classification via Invariant-content Feature Reconstructionhttps://patch-diff.githubusercontent.com/tmlr-group/IFR/blob/main
https://patch-diff.githubusercontent.com/tmlr-group/IFR#introduction
https://patch-diff.githubusercontent.com/tmlr-group/IFR/blob/main/assets/ifr_framework.png
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Meta-Dataset repositoryhttps://github.com/google-research/meta-dataset
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URLhttps://arxiv.org/pdf/2103.13841.pdf
Single-domain networks (one for each dataset)https://drive.google.com/file/d/1MvUcvQ8OQtoOk1MIiJmK6_G8p4h8cbY9/view?usp=sharing
A single universal network (URL) learned from 8 training datasetshttps://drive.google.com/file/d/1Dv8TX6iQ-BE2NMpfd0sQmH2q4mShmo1A/view?usp=sharing
https://patch-diff.githubusercontent.com/tmlr-group/IFR#evaluate-ifr
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VICO-UoE/URL [1]https://github.com/VICO-UoE/URL
google-research/meta-dataset [2]https://github.com/google-research/meta-dataset
Universal representation learning from multiple domains for few-shot classificationhttps://arxiv.org/pdf/2103.13841
Meta-dataset: A dataset of datasets for learning to learn from few exampleshttps://arxiv.org/pdf/1903.03096
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