HyCal mitigates Domain Gravity in cross-discipline imbalanced few-shot class-incremental learning by calibrating prototypes with complementary directional and covariance-aware distances on frozen CLIP embeddings.
Medmnist clas- sification decathlon: A lightweight automl benchmark for medical image analysis
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning
HyCal mitigates Domain Gravity in cross-discipline imbalanced few-shot class-incremental learning by calibrating prototypes with complementary directional and covariance-aware distances on frozen CLIP embeddings.