3 papers
cs.CV2025
Composition-Incremental Learning for Compositional Generalization
Zhen Li, Yuwei Wu, Chenchen Jing +3
Compositional generalization has achieved substantial progress in computer vision on pre-collected training data. Nonetheless, real-world data continually emerges, with possible co…
cs.CV2025
Adaptive Model Ensemble for Continual Learning
Yuchuan Mao, Zhi Gao, Xiaomeng Fan +3
Model ensemble is an effective strategy in continual learning, which alleviates catastrophic forgetting by interpolating model parameters, achieving knowledge fusion learned from d…
cs.CV2024
Consistency of Compositional Generalization across Multiple Levels
Chuanhao Li, Zhen Li, Chenchen Jing +4
Compositional generalization is the capability of a model to understand novel compositions composed of seen concepts. There are multiple levels of novel compositions including phra…