Research map / Continual learning / Class-incremental
Few-Shot Incremental Learning for Label-to-Image Translation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add class-specific semantically-adaptive convolution filters (ablation) | FILIT · ADE20K, 20-task incremental learning | FID: 81.6 -> 77.1 | Helped |
| Add class-specific semantically-adaptive convolution filters (ablation) | FILIT · ADE20K, 20-task incremental learning | SceneFID: 84.0 -> 80.7 | Helped |
| Add semantically-adaptive normalization (ablation) | FILIT · ADE20K, 20-task incremental learning | FID: 83.7 -> 77.1 | Helped |
| Add semantically-adaptive normalization (ablation) | FILIT · ADE20K, 20-task incremental learning | SceneFID: 88.4 -> 80.7 | Helped |
| Add modulation transfer initialization from similar learned classes (ablation) | FILIT · ADE20K, 20-task incremental learning | FID: 84.1 -> 77.1 | Helped |
| Add modulation transfer initialization from similar learned classes (ablation) | FILIT · ADE20K, 20-task incremental learning | SceneFID: 87.2 -> 80.7 | Helped |
| Learn new classes using only new class-specific modulation parameters while freezing the base generator | FILIT · ADE20K Task 0 after Tasks 1–20 | FmIoU: 35.6% -> 0% | Helped |
| Learn new classes using only new class-specific modulation parameters while freezing the base generator | FILIT · COCO-Stuff Task 0 after Tasks 1–20 | FmIoU: 16.3% -> 0% | Helped |
Closest papers by meaning
- Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning (AAAI 2025 · similarity 0.87)
- Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning (AAAI 2025 · similarity 0.86)
- A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models (CVPR 2024 · similarity 0.86)
- Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model (ICLR 2025 · similarity 0.86)
- Making Large Vision Language Models to Be Good Few-Shot Learners (AAAI 2025 · similarity 0.85)
- Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition (ICML 2024 · similarity 0.85)
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