Research map / Label-efficient and robust learning / Zero-/few-shot and meta-learning
Contrastive Embedding for Generalized Zero-Shot Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace semantic-space classification with a new embedding space (ablation) | Gen+SE hybrid · AWA1 GZSL | H: 55.9 -> 66.9 | Helped |
| Use contrastive embedding instead of semantic embedding in the new embedding space (ablation) | Feature-generation hybrid · CUB GZSL | H: 63.1 -> 65.3 | Helped |
| Add class-level contrastive supervision (ablation) | CE-GZSL · AWA1 GZSL | H: 67.8 -> 69.1 | Helped |
| Add instance-level contrastive supervision (ablation) | CE-GZSL · CUB GZSL | H: 63.0 -> 65.3 | Helped |
| Increase embedding dimension from 256 to 2,048 (ablation) | CE-GZSL · AWA1 GZSL | H: 53.3 -> 69.0 | Helped |
| Increase synthesized examples per unseen class (ablation) | CE-GZSL · Five GZSL datasets | H | Helped |
| Vary contrastive temperatures (ablation) | CE-GZSL · Five GZSL datasets | H | No clear effect |
| Use a large random mini-batch instead of hand-crafted positive/negative sampling (ablation) | CE-GZSL · AWA1 GZSL | H: 68.2 -> 69.1 | Helped |
Closest papers by meaning
- Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition (AAAI 2024 · similarity 0.91)
- Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names (CVPR 2024 · similarity 0.91)
- GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder (ICML 2025 · similarity 0.89)
- ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning (ICLR 2025 · similarity 0.88)
- Data-Free Generalized Zero-Shot Learning (AAAI 2024 · similarity 0.88)
- TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning (NeurIPS 2024 · similarity 0.88)
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