Zero-Shot Learning + Domain Generalization
2 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Zero-Shot Learning + Domain Generalization
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
DomainNet
Pano3D
Most implemented papers
Towards Recognizing Unseen Categories in Unseen Domains
mancinimassimiliano/CuMix
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ECCV 2020
The key idea of CuMix is to simulate the test-time domain and semantic shift using images and features from unseen domains and categories generated by mixing up the multiple source domains and categories available during training.
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
zhihou7/batchformer
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CVPR 2022
We perform extensive experiments on over ten datasets and the proposed method achieves significant improvements on different data scarcity applications without any bells and whistles, including the tasks of long-tailed recognition, compositional zero-shot learning, domain generalization, and contrastive learning.
